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TÃtulo : Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail Tipo de documento: documento electrónico Autores: Liu, Feng, ; Zhao, Qijun, ; Zhang, David, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: X, 214 p. 133 ilustraciones, 109 ilustraciones en color. ISBN/ISSN/DL: 978-981-1541285-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Identificación biométrica Sistemas de reconocimiento de patrones Visión por computador BiometrÃa Reconocimiento de patrones automatizado Clasificación: 6.248 Resumen: Las huellas dactilares se encuentran entre las modalidades biométricas más utilizadas y se han aplicado con éxito en diversos escenarios. Por ejemplo, en medicina forense, las huellas dactilares sirven como prueba legal importante; y en aplicaciones civiles, las huellas dactilares se utilizan para el control de acceso y asistencia, asà como para otros servicios de identidad. Gracias a los avances en la tecnologÃa de imágenes tridimensionales (3D) y de alta resolución, ahora es factible capturar huellas dactilares en 3D o de alta resolución para proporcionar información adicional e ir más allá de las caracterÃsticas tradicionales, como los patrones de crestas globales y las singularidades de crestas locales utilizadas en Tareas convencionales de reconocimiento de huellas dactilares. Este libro presenta el estado del arte en la adquisición y análisis de huellas dactilares 3D y de alta resolución. Basado en la investigación de los autores, este libro se centra en el reconocimiento avanzado de huellas dactilares utilizando caracterÃsticas de huellas dactilares en 3D (es decir, forma del dedo, caracterÃsticas de nivel 0) o caracterÃsticas de huellas dactilares de alta resolución (es decir, detalle de cresta, caracterÃsticas de nivel 3). Es un recurso valioso para investigadores, profesionales y estudiantes de posgrado que trabajan en el campo de la visión por computadora, el reconocimiento de patrones, la práctica de seguridad/biometrÃa, asà como para investigadores interdisciplinarios. Nota de contenido: Preface -- Chapter 1: Introduction -- Chapter 2: Overview: 3D Fingerprints -- Chapter 3: 3D Fingerprint Generation -- Chapter 4: 3D Fingerprint Authentication -- Chapter 5: Applications of 3D Fingerprints -- Chapter 6: Overview: High Resolution Fingerprints -- Chapter 7: High Resolution Fingerprint Acquisition -- Chapter 8 : Fingerprint Pore Extraction -- Chapter 9: Pore-Based Partial Fingerprint Alignment -- Chapter 10: Fingerprint Pore Matching -- Chapter 11: Quality Assessment of High Resolution Fingerprints -- Chapter 12: Fusion of Extended Fingerprint Features -- Chapter 13: Book Review and Future Work. Tipo de medio : Computadora Summary : Fingerprints are among the most widely used biometric modalities and have been successfully applied in various scenarios. For example, in forensics, fingerprints serve as important legal evidence; and in civilian applications, fingerprints are used for access and attendance control as well as other identity services. Thanks to advances in three-dimensional (3D) and high-resolution imaging technology, it is now feasible to capture 3D or high-resolution fingerprints to provide extra information and go beyond the traditional features such as global ridge patterns and local ridge singularities used in conventional fingerprint recognition tasks. This book presents the state of the art in the acquisition and analysis of 3D and high-resolution fingerprints. Based on the authors' research, this book focuses on advanced fingerprint recognition using 3D fingerprint features (i.e., finger shape, level 0 features) or high-resolution fingerprint features (i.e., ridge detail, level 3features). It is a valuable resource for researchers, professionals and graduate students working in the field of computer vision, pattern recognition, security/biometrics practice, as well as interdisciplinary researchers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail [documento electrónico] / Liu, Feng, ; Zhao, Qijun, ; Zhang, David, . - 1 ed. . - Singapore [Malasia] : Springer, 2020 . - X, 214 p. 133 ilustraciones, 109 ilustraciones en color.
ISBN : 978-981-1541285--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Identificación biométrica Sistemas de reconocimiento de patrones Visión por computador BiometrÃa Reconocimiento de patrones automatizado Clasificación: 6.248 Resumen: Las huellas dactilares se encuentran entre las modalidades biométricas más utilizadas y se han aplicado con éxito en diversos escenarios. Por ejemplo, en medicina forense, las huellas dactilares sirven como prueba legal importante; y en aplicaciones civiles, las huellas dactilares se utilizan para el control de acceso y asistencia, asà como para otros servicios de identidad. Gracias a los avances en la tecnologÃa de imágenes tridimensionales (3D) y de alta resolución, ahora es factible capturar huellas dactilares en 3D o de alta resolución para proporcionar información adicional e ir más allá de las caracterÃsticas tradicionales, como los patrones de crestas globales y las singularidades de crestas locales utilizadas en Tareas convencionales de reconocimiento de huellas dactilares. Este libro presenta el estado del arte en la adquisición y análisis de huellas dactilares 3D y de alta resolución. Basado en la investigación de los autores, este libro se centra en el reconocimiento avanzado de huellas dactilares utilizando caracterÃsticas de huellas dactilares en 3D (es decir, forma del dedo, caracterÃsticas de nivel 0) o caracterÃsticas de huellas dactilares de alta resolución (es decir, detalle de cresta, caracterÃsticas de nivel 3). Es un recurso valioso para investigadores, profesionales y estudiantes de posgrado que trabajan en el campo de la visión por computadora, el reconocimiento de patrones, la práctica de seguridad/biometrÃa, asà como para investigadores interdisciplinarios. Nota de contenido: Preface -- Chapter 1: Introduction -- Chapter 2: Overview: 3D Fingerprints -- Chapter 3: 3D Fingerprint Generation -- Chapter 4: 3D Fingerprint Authentication -- Chapter 5: Applications of 3D Fingerprints -- Chapter 6: Overview: High Resolution Fingerprints -- Chapter 7: High Resolution Fingerprint Acquisition -- Chapter 8 : Fingerprint Pore Extraction -- Chapter 9: Pore-Based Partial Fingerprint Alignment -- Chapter 10: Fingerprint Pore Matching -- Chapter 11: Quality Assessment of High Resolution Fingerprints -- Chapter 12: Fusion of Extended Fingerprint Features -- Chapter 13: Book Review and Future Work. Tipo de medio : Computadora Summary : Fingerprints are among the most widely used biometric modalities and have been successfully applied in various scenarios. For example, in forensics, fingerprints serve as important legal evidence; and in civilian applications, fingerprints are used for access and attendance control as well as other identity services. Thanks to advances in three-dimensional (3D) and high-resolution imaging technology, it is now feasible to capture 3D or high-resolution fingerprints to provide extra information and go beyond the traditional features such as global ridge patterns and local ridge singularities used in conventional fingerprint recognition tasks. This book presents the state of the art in the acquisition and analysis of 3D and high-resolution fingerprints. Based on the authors' research, this book focuses on advanced fingerprint recognition using 3D fingerprint features (i.e., finger shape, level 0 features) or high-resolution fingerprint features (i.e., ridge detail, level 3features). It is a valuable resource for researchers, professionals and graduate students working in the field of computer vision, pattern recognition, security/biometrics practice, as well as interdisciplinary researchers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Biometric Recognition / Zhou, Jie ; Wang, Yunhong ; Sun, Zhenan ; Xu, Yong ; Shen, Linlin ; Feng, Jianjiang ; Shan, Shiguang ; Qiao, Yu ; Guo, Zhenhua ; Yu, Shiqi
TÃtulo : Biometric Recognition : 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings Tipo de documento: documento electrónico Autores: Zhou, Jie, ; Wang, Yunhong, ; Sun, Zhenan, ; Xu, Yong, ; Shen, Linlin, ; Feng, Jianjiang, ; Shan, Shiguang, ; Qiao, Yu, ; Guo, Zhenhua, ; Yu, Shiqi, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XVII, 762 p. 352 ilustraciones ISBN/ISSN/DL: 978-3-319-69923-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Identificación biométrica Sistemas de reconocimiento de patrones Visión por computador Algoritmos Gráficos de computadora Software de la aplicacion BiometrÃa Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Clasificación: 6.248 Resumen: Reconocimiento, CCBR 2017, celebrado en Shenzhen, China, en octubre de 2017. Los 15 artÃculos completos y 65 artÃculos tipo póster presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 138 presentaciones. Los artÃculos están organizados en secciones temáticas sobre cara; biometrÃa dactilar, palmar y vascular; iris; gesto y marcha; biometrÃa emergente; voz y habla; video vigilancia; teorÃa de clasificación y extracción de caracterÃsticas; biometrÃa del comportamiento. Nota de contenido: Face -- Fingerprint -- Palm-print and vascular biometrics -- Iris -- Gesture and gait.-Emerging biometrics -- Voice and speech -- Video surveillance -- Feature extraction and classification theory -- Behavioral biometrics. Tipo de medio : Computadora Summary : Recognition, CCBR 2017, held in Shenzhen, China, in October 2017. The 15 full papers and 65 poster papers presented in this book were carefully reviewed and selected from 138 submissions. The papers are organized in topical sections on face; fingerprint, palm-print and vascular biometrics; iris; gesture and gait; emerging biometrics; voice and speech; video surveillance; feature extraction and classification theory; behavioral biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Biometric Recognition : 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings [documento electrónico] / Zhou, Jie, ; Wang, Yunhong, ; Sun, Zhenan, ; Xu, Yong, ; Shen, Linlin, ; Feng, Jianjiang, ; Shan, Shiguang, ; Qiao, Yu, ; Guo, Zhenhua, ; Yu, Shiqi, . - 1 ed. . - [s.l.] : Springer, 2017 . - XVII, 762 p. 352 ilustraciones.
ISBN : 978-3-319-69923-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Identificación biométrica Sistemas de reconocimiento de patrones Visión por computador Algoritmos Gráficos de computadora Software de la aplicacion BiometrÃa Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Clasificación: 6.248 Resumen: Reconocimiento, CCBR 2017, celebrado en Shenzhen, China, en octubre de 2017. Los 15 artÃculos completos y 65 artÃculos tipo póster presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 138 presentaciones. Los artÃculos están organizados en secciones temáticas sobre cara; biometrÃa dactilar, palmar y vascular; iris; gesto y marcha; biometrÃa emergente; voz y habla; video vigilancia; teorÃa de clasificación y extracción de caracterÃsticas; biometrÃa del comportamiento. Nota de contenido: Face -- Fingerprint -- Palm-print and vascular biometrics -- Iris -- Gesture and gait.-Emerging biometrics -- Voice and speech -- Video surveillance -- Feature extraction and classification theory -- Behavioral biometrics. Tipo de medio : Computadora Summary : Recognition, CCBR 2017, held in Shenzhen, China, in October 2017. The 15 full papers and 65 poster papers presented in this book were carefully reviewed and selected from 138 submissions. The papers are organized in topical sections on face; fingerprint, palm-print and vascular biometrics; iris; gesture and gait; emerging biometrics; voice and speech; video surveillance; feature extraction and classification theory; behavioral biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Biometric Recognition : 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings Tipo de documento: documento electrónico Autores: Zhou, Jie, ; Wang, Yunhong, ; Sun, Zhenan, ; Jia, Zhenhong, ; Feng, Jianjiang, ; Shan, Shiguang, ; Ubul, Kurban, ; Guo, Zhenhua, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XVII, 748 p. 364 ilustraciones ISBN/ISSN/DL: 978-3-319-97909-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Identificación biométrica Visión por computador Inteligencia artificial Protección de datos Red de computadoras Estructuras de datos (Informática) TeorÃa de la información BiometrÃa Seguridad de datos e información Redes de comunicación informática Estructuras de datos y teorÃa de la información Clasificación: 6.248 Resumen: El volumen 10996 de LNCS constituye las actas de la 13.ª Conferencia China sobre Reconocimiento Biométrico, celebrada en Urumchi, China, en agosto de 2018. Los 79 artÃculos habituales presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 112 presentaciones. Los artÃculos cubren una amplia gama de temas como biometrÃa, reconocimiento de voz, reconocimiento y comprensión de actividades, reconocimiento de escritura a mano en lÃnea, análisis forense de sistemas, autenticación multifactor y contraseñas gráficas y visuales. Nota de contenido: Hand-based Biometrics -- Gesture -- Gait -- Action -- Feature Extraction and Classication Theory -- Face -- Eye-based Biometrics -- Emerging Biometrics -- Behavioral Biometrics. Tipo de medio : Computadora Summary : The LNCS volume 10996 constitutes the proceedings of the 13th Chinese Conference on Biometric Recognition, held in Urumchi, China, in August 2018. The 79 regular papers presented in this book were carefully reviewed and selected from 112 submissions. The papers cover a wide range of topics such as Biometrics, Speech recognition, Activity recognition and understanding, Online handwriting recognition, System forensics, Multi-factor authentication, Graphical and visual passwords. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Biometric Recognition : 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings [documento electrónico] / Zhou, Jie, ; Wang, Yunhong, ; Sun, Zhenan, ; Jia, Zhenhong, ; Feng, Jianjiang, ; Shan, Shiguang, ; Ubul, Kurban, ; Guo, Zhenhua, . - 1 ed. . - [s.l.] : Springer, 2018 . - XVII, 748 p. 364 ilustraciones.
ISBN : 978-3-319-97909-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Identificación biométrica Visión por computador Inteligencia artificial Protección de datos Red de computadoras Estructuras de datos (Informática) TeorÃa de la información BiometrÃa Seguridad de datos e información Redes de comunicación informática Estructuras de datos y teorÃa de la información Clasificación: 6.248 Resumen: El volumen 10996 de LNCS constituye las actas de la 13.ª Conferencia China sobre Reconocimiento Biométrico, celebrada en Urumchi, China, en agosto de 2018. Los 79 artÃculos habituales presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 112 presentaciones. Los artÃculos cubren una amplia gama de temas como biometrÃa, reconocimiento de voz, reconocimiento y comprensión de actividades, reconocimiento de escritura a mano en lÃnea, análisis forense de sistemas, autenticación multifactor y contraseñas gráficas y visuales. Nota de contenido: Hand-based Biometrics -- Gesture -- Gait -- Action -- Feature Extraction and Classication Theory -- Face -- Eye-based Biometrics -- Emerging Biometrics -- Behavioral Biometrics. Tipo de medio : Computadora Summary : The LNCS volume 10996 constitutes the proceedings of the 13th Chinese Conference on Biometric Recognition, held in Urumchi, China, in August 2018. The 79 regular papers presented in this book were carefully reviewed and selected from 112 submissions. The papers cover a wide range of topics such as Biometrics, Speech recognition, Activity recognition and understanding, Online handwriting recognition, System forensics, Multi-factor authentication, Graphical and visual passwords. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Biometric Recognition : 14th Chinese Conference, CCBR 2019, Zhuzhou, China, October 12–13, 2019, Proceedings / Tipo de documento: documento electrónico Autores: Sun, Zhenan, ; He, Ran, ; Feng, Jianjiang, ; Shan, Shiguang, ; Guo, Zhenhua, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XVI, 521 p. ISBN/ISSN/DL: 978-3-030-31456-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Identificación biométrica Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Protección de datos BiometrÃa IngenierÃa Informática y Redes Interfaces de usuario e interacción persona-computadora Seguridad de datos e información Clasificación: 6.248 Resumen: El volumen 11818 de la LNCS constituye las actas de la 14.ª Conferencia China sobre Reconocimiento Biométrico, celebrada en Zhuzhou, China, en octubre de 2019. Los 56 artÃculos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 74 presentaciones. Los artÃculos cubren una amplia gama de temas como reconocimiento y análisis de rostros; biometrÃa manual; biometrÃa ocular; gesto, andar y acción; biometrÃa emergente; teorÃa de extracción y clasificación de caracterÃsticas; y biometrÃa del comportamiento. Nota de contenido: Hand-Based Biometrics -- Local Discriminative Direction Extraction for Palmprint Recognition -- Fingerprint Presentation Attack Detection via Analyzing Fingerprint Pairs -- Finger Vein Recognition Based on Double-Orientation Coding Histogram -- Fingerprint Classiï¬cation Based on Lightweighyt Neural Networks -- 3D Fingerprint Gender Classiï¬cation Using Deep Learning -- A Novel Method for Finger Vein Recognition -- Rolled Fingerprint Mosaicking Algorithm Based on Block Scale -- Study and Realization of Partial Fingerprint Mosaicking Technology for Mobile Devices -- Gesture, Gait and Action -- Multiscale Temporal Network for Video-based Gait Recognition -- Global and Local Spatial-Attention Network for Isolated Gesture Recognition -- Authentication System Design Based On Dynamic Hand Gesture -- Feature Extraction and Classiï¬cation Theory -- Structure Feature Learning: Constructing Functional Connectivity Network forAlzheimer's disease Identiï¬cation and Analysis -- Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Pooling -- Embarrassingly Easy Zero-Shot Image Recognition -- On the Generalization of GAN Image Forensics -- Face -- Deep Residual Equivariant Mapping for Multi-Angle Face Recognition -- The Impact of Data Correlation on Identiï¬cation of Computer-Generated Face Images -- Face Image Deblurring Based on Iterative Spiral Optimization -- AdaptiveNet: Toward an Efficient Face Alignment Algorithm -- Cross-dimension Transfer Learning for Video-based Facial Expression Recognition -- Exploring Shape Deformation in 2D Images for Facial Expression Recognition -- Facial attractiveness prediction by Deep Adaptive Label Distribution Learning -- LWFD:A Simple Light-Weight Network for Face Detection -- Dairy Cow Tiny Face Recognition Based on Convolutional Neural Networks -- Reconstructed Face Recognition -- A Two-Stage Method for Assessing Facial Paralysis Severity by Fusing Multiple Classiï¬ers -- Latent Spatial Features Based on Generative Adversarial Networks for Face Anti-spooï¬ng -- Similarity Measurement between Reconstructed 3D Face and 2D Face based on Deep Learning -- Real-time Face Occlusion Recognition Algorithm Based on Feature Fusion -- Joint Face Detection and Alignment Using Focal Loss-based Multi-task Convolutional Neural Networks -- A Face Recognition Workflow Based upon Similarity Measurement -- 106-Point Facial Landmark Localization with Mobile Networks Based on Regression -- Eye-Based Biometrics -- Long Range Pupil Location Algorithm Based on the Improved Circle Fitting Method -- Multi-source heterogeneous iris recognition using Locality Preserving Projection -- Iris Recognition Based on Adaptive Optimization Log-Gabor Filter and RBF Neural Network -- Retinal vessel segmentation method based on improved deep U-net -- Multi-pyramid Optimized Mask R-CNN for Iris Detection and Segmentation -- Constrained Sequence Iris Quality Evaluation Based on Causal Relationship Decision Reasoning -- Iris Image Super Resolution based on GANs with Adversarial Triplets -- SDItg-Diff: Noisy Iris Localization based on Statistical Denoising -- End to end robust recognition method for iris using a dense deep convolutional neural network -- Emerging Biometrics -- X-Ray Image With Prohibited Items Synthesis Based on Generative Adversarial Network -- A Deep learning Approach to Web Bot Detection Using Mouse Behavioral Biometrics -- Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs -- Shoe Pattern Recognition: A Benchmark -- Learning Discriminative Representation for ECG Biometrics Based on Multi-Scale 1D-PDV -- Off-line handwritten signature recognition based on discrete curvelet transform -- Research on automatic classiï¬cation method of footwear under low resolution condition -- Behavioral Biometrics -- Low-resolution Person Re-identiï¬cation By a Discriminative Resolution-invariant Network -- DHML: Deep Heterogeneous Metric Learning for VIS-NIR Person Re-identiï¬cation -- Teager Energy Operator based Features with x-vector for Replay Attack Detection -- Video Human Behaviour Recognition Based on Improved SVM KNN for Traceability of Planting Industry -- Application of Unscented Kalman Filter in Tracking of Video Moving Target -- Similarity Scores based Re-Classiï¬cation for Open-Set Person Re-Identiï¬cation -- The GMM and I-vector Systems Based on Spooï¬ng Algorithms for Speaker Spooï¬ng Detection -- Feature Enhancement for Joint Human and Head Detection. . Tipo de medio : Computadora Summary : The LNCS volume 11818 constitutes the proceedings of the 14th Chinese Conference on Biometric Recognition, held in Zhuzhou, China, in October 2019. The 56 papers presented in this book were carefully reviewed and selected from 74 submissions. The papers cover a wide range of topics such as face recognition and analysis; hand-based biometrics; eye-based biometrics; gesture, gait, and action; emerging biometrics; feature extraction and classiï¬cation theory; and behavioral biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Biometric Recognition : 14th Chinese Conference, CCBR 2019, Zhuzhou, China, October 12–13, 2019, Proceedings / [documento electrónico] / Sun, Zhenan, ; He, Ran, ; Feng, Jianjiang, ; Shan, Shiguang, ; Guo, Zhenhua, . - 1 ed. . - [s.l.] : Springer, 2019 . - XVI, 521 p.
ISBN : 978-3-030-31456-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Identificación biométrica Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Protección de datos BiometrÃa IngenierÃa Informática y Redes Interfaces de usuario e interacción persona-computadora Seguridad de datos e información Clasificación: 6.248 Resumen: El volumen 11818 de la LNCS constituye las actas de la 14.ª Conferencia China sobre Reconocimiento Biométrico, celebrada en Zhuzhou, China, en octubre de 2019. Los 56 artÃculos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 74 presentaciones. Los artÃculos cubren una amplia gama de temas como reconocimiento y análisis de rostros; biometrÃa manual; biometrÃa ocular; gesto, andar y acción; biometrÃa emergente; teorÃa de extracción y clasificación de caracterÃsticas; y biometrÃa del comportamiento. Nota de contenido: Hand-Based Biometrics -- Local Discriminative Direction Extraction for Palmprint Recognition -- Fingerprint Presentation Attack Detection via Analyzing Fingerprint Pairs -- Finger Vein Recognition Based on Double-Orientation Coding Histogram -- Fingerprint Classiï¬cation Based on Lightweighyt Neural Networks -- 3D Fingerprint Gender Classiï¬cation Using Deep Learning -- A Novel Method for Finger Vein Recognition -- Rolled Fingerprint Mosaicking Algorithm Based on Block Scale -- Study and Realization of Partial Fingerprint Mosaicking Technology for Mobile Devices -- Gesture, Gait and Action -- Multiscale Temporal Network for Video-based Gait Recognition -- Global and Local Spatial-Attention Network for Isolated Gesture Recognition -- Authentication System Design Based On Dynamic Hand Gesture -- Feature Extraction and Classiï¬cation Theory -- Structure Feature Learning: Constructing Functional Connectivity Network forAlzheimer's disease Identiï¬cation and Analysis -- Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Pooling -- Embarrassingly Easy Zero-Shot Image Recognition -- On the Generalization of GAN Image Forensics -- Face -- Deep Residual Equivariant Mapping for Multi-Angle Face Recognition -- The Impact of Data Correlation on Identiï¬cation of Computer-Generated Face Images -- Face Image Deblurring Based on Iterative Spiral Optimization -- AdaptiveNet: Toward an Efficient Face Alignment Algorithm -- Cross-dimension Transfer Learning for Video-based Facial Expression Recognition -- Exploring Shape Deformation in 2D Images for Facial Expression Recognition -- Facial attractiveness prediction by Deep Adaptive Label Distribution Learning -- LWFD:A Simple Light-Weight Network for Face Detection -- Dairy Cow Tiny Face Recognition Based on Convolutional Neural Networks -- Reconstructed Face Recognition -- A Two-Stage Method for Assessing Facial Paralysis Severity by Fusing Multiple Classiï¬ers -- Latent Spatial Features Based on Generative Adversarial Networks for Face Anti-spooï¬ng -- Similarity Measurement between Reconstructed 3D Face and 2D Face based on Deep Learning -- Real-time Face Occlusion Recognition Algorithm Based on Feature Fusion -- Joint Face Detection and Alignment Using Focal Loss-based Multi-task Convolutional Neural Networks -- A Face Recognition Workflow Based upon Similarity Measurement -- 106-Point Facial Landmark Localization with Mobile Networks Based on Regression -- Eye-Based Biometrics -- Long Range Pupil Location Algorithm Based on the Improved Circle Fitting Method -- Multi-source heterogeneous iris recognition using Locality Preserving Projection -- Iris Recognition Based on Adaptive Optimization Log-Gabor Filter and RBF Neural Network -- Retinal vessel segmentation method based on improved deep U-net -- Multi-pyramid Optimized Mask R-CNN for Iris Detection and Segmentation -- Constrained Sequence Iris Quality Evaluation Based on Causal Relationship Decision Reasoning -- Iris Image Super Resolution based on GANs with Adversarial Triplets -- SDItg-Diff: Noisy Iris Localization based on Statistical Denoising -- End to end robust recognition method for iris using a dense deep convolutional neural network -- Emerging Biometrics -- X-Ray Image With Prohibited Items Synthesis Based on Generative Adversarial Network -- A Deep learning Approach to Web Bot Detection Using Mouse Behavioral Biometrics -- Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs -- Shoe Pattern Recognition: A Benchmark -- Learning Discriminative Representation for ECG Biometrics Based on Multi-Scale 1D-PDV -- Off-line handwritten signature recognition based on discrete curvelet transform -- Research on automatic classiï¬cation method of footwear under low resolution condition -- Behavioral Biometrics -- Low-resolution Person Re-identiï¬cation By a Discriminative Resolution-invariant Network -- DHML: Deep Heterogeneous Metric Learning for VIS-NIR Person Re-identiï¬cation -- Teager Energy Operator based Features with x-vector for Replay Attack Detection -- Video Human Behaviour Recognition Based on Improved SVM KNN for Traceability of Planting Industry -- Application of Unscented Kalman Filter in Tracking of Video Moving Target -- Similarity Scores based Re-Classiï¬cation for Open-Set Person Re-Identiï¬cation -- The GMM and I-vector Systems Based on Spooï¬ng Algorithms for Speaker Spooï¬ng Detection -- Feature Enhancement for Joint Human and Head Detection. . Tipo de medio : Computadora Summary : The LNCS volume 11818 constitutes the proceedings of the 14th Chinese Conference on Biometric Recognition, held in Zhuzhou, China, in October 2019. The 56 papers presented in this book were carefully reviewed and selected from 74 submissions. The papers cover a wide range of topics such as face recognition and analysis; hand-based biometrics; eye-based biometrics; gesture, gait, and action; emerging biometrics; feature extraction and classiï¬cation theory; and behavioral biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Biometric Recognition : 15th Chinese Conference, CCBR 2021, Shanghai, China, September 10–12, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Feng, Jianjiang, ; Zhang, Junping, ; Liu, Manhua, ; Fang, Yuchun, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVII, 493 p. 41 ilustraciones, 1 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86608-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Identificación biométrica Inteligencia artificial Visión por computador Sistemas de reconocimiento de patrones IngenierÃa Informática Red de computadoras BiometrÃa Reconocimiento de patrones automatizado IngenierÃa Informática y Redes Clasificación: 6.248 Resumen: El volumen 12878 de LNCS constituye las actas de la 15.ª Conferencia China sobre Reconocimiento Biométrico, celebrada en Shanghai, China, en septiembre de 2021. Los 53 artÃculos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 72 presentaciones. Los artÃculos cubren una amplia gama de temas como biometrÃa multimodal y biometrÃa emergente; biometrÃa manual; biometrÃa facial; y biometrÃa del habla. Nota de contenido: Multi-modal biometrics and Emerging Biometrics -- A Novel Dual-modal Biometric Recognition Method Based on Weighted Joint Sparse Representation Classification -- Personal Identification with Exploiting Competitive Tasks in EEG Signals -- A Systematical Solution for Face De-identification -- Skeleton-Based Action Recognition with Improved Graph Convolution Network -- End-to-end Finger Trimodal Features Fusion and Recognition Model Based on CNN -- Mouse Dynamics Based Bot Detection Using Sequence Learning -- A New Age-groups Classifying Method for Irrawaddy Dolphin -- Auricular Point Localization Oriented Region Segmentation for Human Ear -- Portrait Thangka Image Retrieval via Figure Re-dentification -- To See Facial Expressions Through Occlusions via Adversarial Disentangled Features Learning with 3D Supervision -- Automatically Distinguishing Adult from Young Giant Pandas Based on Their Call -- Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with BrainRegions -- A Deep Attention Transformer Network for Pain Estimation with Facial Expression Video -- Cognitive Analysis of EEG Signals Induced by Visual Stimulation of Facial Emotion -- 3D Context-Aware PIFu for Clothed Human Reconstruction -- Facial Expression Synthesis with Synchronous Editing of Face Organs -- Multi-lingual Hybrid Handwritten Signature Recognition Based on Deep Residual Attention Network -- Traumatic Brain Injury Images Classification Method Based on Deep Learning -- Palatal Rugae Recognition via 2D Fractional Fourier Transform -- Hand Biometrics -- Fusion of Partition Local Binary Patterns and Convolutional Neural Networks for Dorsal Hand Vein Recognition -- Pose-Specific 3D Fingerprint Unfolding -- Finger Vein Recognition Using A Shallow Convolutional Neural Network -- Finger Crystal Feature Recognition Based on Graph Convolutional Network -- Signatured Fingermark Recognition Based on Deep Residual Network -- Dorsal Hand Vein Recognition Based on Transfer Learning with Fusion of LBP Feature -- An Improved Finger Vein Recognition Model with A Residual Attention Mechanism -- A Lightweight CNN using HSIC Fine-tuning for Fingerprint Liveness Detection -- An Efficient Joint Bayesian Model with Soft Biometric Traits for Finger Vein Recognition -- A Novel Local Binary Operator Based on Discretization for Finger Vein Recognition -- A Generalized Graph Features Fusion Framework for Finger Biometric Recognition -- A STN-based Self-supervised Network for Dense Fingerprint Registration -- An Arcloss-based and Openset-test-oriented Finger Vein Recognition System -- Different Dimension Issues in Deep Feature Space for Finger-vein Recognition -- Facial Biometrics -- Holistic Co-occurrence Prior for High-density Face Detection -- Iris Normalization Beyond Appr-circular Parameter Estimation -- Non-Segmentation and Deep-Learning Frameworks for Iris Recognition -- Incomplete Texture Repair of Iris Based on Generative Adversarial Networks -- Deepfakes Detection Technology Basedon Multi Scale Fusion -- Balance Training for Anchor-free Face Detection -- One-Class Face Anti-spoofing Based on Attention Auto-encoder -- Full Quaternion Matrix and Random Projection for Bimodal Face Template Protection -- Kinship Verification via Reference List Comparison -- Face Attribute Estimation with HMAX-GCNet Model -- Wavelet-based Face Inpainting with Channel Relation Attention -- Monocular 3D Target Detection Based on Cross-modal and Mass Perceived Loss -- Low-quality 3D Face Recognition with Soft Thresholding -- Research on Face Degraded Image Generation Algorithm for Practical Application Scenes -- Embedding Fast Temporal Information Model to Improve Face Anti-spoofing -- Speech Biometrics -- Jointing Multi-task Learning and Gradient Reversal Layer for Far-field Speaker Verification -- Attention Network with GMM Based Feature for ASV Spoofing Detection -- Cross-corpus Speech Emotion Recognition Based on Sparse Subspace Transfer Learning -- Channel Enhanced Temporal-Shift Module for Efficient Lipreading -- Explore the Use of Self-supervised Pre-trained Acoustic Features on Disguised Speech Detection. Tipo de medio : Computadora Summary : The LNCS volume 12878 constitutes the proceedings of the 15th Chinese Conference on Biometric Recognition, held in Shanghai, China, in September 2021. The 53 papers presented in this book were carefully reviewed and selected from 72 submissions. The papers cover a wide range of topics such as multi-modal biometrics and emerging biometrics; hand biometrics; facial biometrics; and speech biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Biometric Recognition : 15th Chinese Conference, CCBR 2021, Shanghai, China, September 10–12, 2021, Proceedings / [documento electrónico] / Feng, Jianjiang, ; Zhang, Junping, ; Liu, Manhua, ; Fang, Yuchun, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVII, 493 p. 41 ilustraciones, 1 ilustraciones en color.
ISBN : 978-3-030-86608-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Identificación biométrica Inteligencia artificial Visión por computador Sistemas de reconocimiento de patrones IngenierÃa Informática Red de computadoras BiometrÃa Reconocimiento de patrones automatizado IngenierÃa Informática y Redes Clasificación: 6.248 Resumen: El volumen 12878 de LNCS constituye las actas de la 15.ª Conferencia China sobre Reconocimiento Biométrico, celebrada en Shanghai, China, en septiembre de 2021. Los 53 artÃculos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 72 presentaciones. Los artÃculos cubren una amplia gama de temas como biometrÃa multimodal y biometrÃa emergente; biometrÃa manual; biometrÃa facial; y biometrÃa del habla. Nota de contenido: Multi-modal biometrics and Emerging Biometrics -- A Novel Dual-modal Biometric Recognition Method Based on Weighted Joint Sparse Representation Classification -- Personal Identification with Exploiting Competitive Tasks in EEG Signals -- A Systematical Solution for Face De-identification -- Skeleton-Based Action Recognition with Improved Graph Convolution Network -- End-to-end Finger Trimodal Features Fusion and Recognition Model Based on CNN -- Mouse Dynamics Based Bot Detection Using Sequence Learning -- A New Age-groups Classifying Method for Irrawaddy Dolphin -- Auricular Point Localization Oriented Region Segmentation for Human Ear -- Portrait Thangka Image Retrieval via Figure Re-dentification -- To See Facial Expressions Through Occlusions via Adversarial Disentangled Features Learning with 3D Supervision -- Automatically Distinguishing Adult from Young Giant Pandas Based on Their Call -- Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with BrainRegions -- A Deep Attention Transformer Network for Pain Estimation with Facial Expression Video -- Cognitive Analysis of EEG Signals Induced by Visual Stimulation of Facial Emotion -- 3D Context-Aware PIFu for Clothed Human Reconstruction -- Facial Expression Synthesis with Synchronous Editing of Face Organs -- Multi-lingual Hybrid Handwritten Signature Recognition Based on Deep Residual Attention Network -- Traumatic Brain Injury Images Classification Method Based on Deep Learning -- Palatal Rugae Recognition via 2D Fractional Fourier Transform -- Hand Biometrics -- Fusion of Partition Local Binary Patterns and Convolutional Neural Networks for Dorsal Hand Vein Recognition -- Pose-Specific 3D Fingerprint Unfolding -- Finger Vein Recognition Using A Shallow Convolutional Neural Network -- Finger Crystal Feature Recognition Based on Graph Convolutional Network -- Signatured Fingermark Recognition Based on Deep Residual Network -- Dorsal Hand Vein Recognition Based on Transfer Learning with Fusion of LBP Feature -- An Improved Finger Vein Recognition Model with A Residual Attention Mechanism -- A Lightweight CNN using HSIC Fine-tuning for Fingerprint Liveness Detection -- An Efficient Joint Bayesian Model with Soft Biometric Traits for Finger Vein Recognition -- A Novel Local Binary Operator Based on Discretization for Finger Vein Recognition -- A Generalized Graph Features Fusion Framework for Finger Biometric Recognition -- A STN-based Self-supervised Network for Dense Fingerprint Registration -- An Arcloss-based and Openset-test-oriented Finger Vein Recognition System -- Different Dimension Issues in Deep Feature Space for Finger-vein Recognition -- Facial Biometrics -- Holistic Co-occurrence Prior for High-density Face Detection -- Iris Normalization Beyond Appr-circular Parameter Estimation -- Non-Segmentation and Deep-Learning Frameworks for Iris Recognition -- Incomplete Texture Repair of Iris Based on Generative Adversarial Networks -- Deepfakes Detection Technology Basedon Multi Scale Fusion -- Balance Training for Anchor-free Face Detection -- One-Class Face Anti-spoofing Based on Attention Auto-encoder -- Full Quaternion Matrix and Random Projection for Bimodal Face Template Protection -- Kinship Verification via Reference List Comparison -- Face Attribute Estimation with HMAX-GCNet Model -- Wavelet-based Face Inpainting with Channel Relation Attention -- Monocular 3D Target Detection Based on Cross-modal and Mass Perceived Loss -- Low-quality 3D Face Recognition with Soft Thresholding -- Research on Face Degraded Image Generation Algorithm for Practical Application Scenes -- Embedding Fast Temporal Information Model to Improve Face Anti-spoofing -- Speech Biometrics -- Jointing Multi-task Learning and Gradient Reversal Layer for Far-field Speaker Verification -- Attention Network with GMM Based Feature for ASV Spoofing Detection -- Cross-corpus Speech Emotion Recognition Based on Sparse Subspace Transfer Learning -- Channel Enhanced Temporal-Shift Module for Efficient Lipreading -- Explore the Use of Self-supervised Pre-trained Acoustic Features on Disguised Speech Detection. Tipo de medio : Computadora Summary : The LNCS volume 12878 constitutes the proceedings of the 15th Chinese Conference on Biometric Recognition, held in Shanghai, China, in September 2021. The 53 papers presented in this book were carefully reviewed and selected from 72 submissions. The papers cover a wide range of topics such as multi-modal biometrics and emerging biometrics; hand biometrics; facial biometrics; and speech biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
