Multibiometrics for human identification / edited by Bir Bhanu, Venu Govindaraju.
| Call Number | 006.4 |
| Title | Multibiometrics for human identification / edited by Bir Bhanu, Venu Govindaraju. |
| Physical Description | 1 online resource (xiv, 388 pages) : digital, PDF file(s). |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Contents | Multi-modal ear and face modeling and recognition / Steven Cadavid, Mohammad H. Mahoor, and Mohamed Abdel-Mottaleb -- Audiovisual speech synchrony detection by a family of bimodal linear prediction models / Kshitiz Kumar [and others] -- Multispectral contact-free palmprint recognition / Ying Hao, Zhenan Sun, and Tieniu Tan -- Face recognition under the skin / Pradeep Buddharaju and Ioannis Pavlidis -- Biometric authentication : a copula-based approach / Satish G. Iyengar, Pramod K. Varshney, and Thyagaraju Damarla -- An investigation into feature-level fusion of face and fingerprint biometrics / Ajita Rattani and Massimo Tistarelli -- Adaptive multibiometric systems / Luca Didaci, Gian Luca Marcialis, and Fabio Roli -- Multiple projector camera system for three-dimensional gait recognition / Koichiro Yamauchi, Bir Bhanu, and Hideo Saito -- Gait recognition using motion physics in a neuromorphic computing framework / Ricky J. Sethi, Amit K. Roy-Chowdhury, and Ashok Veeraraghavan -- Face tracking and recognition in a camera network / Ming Du, Aswin Sankaranarayanan and Rama Chellappa -- Bidirectional relighting for 3D-aided 2D face recognition / G. Toderici [and others] -- Acquisition and analysis of a dataset comprising of gait, ear and semantic data / Sina Samangooei [and others] -- Dynamic security management in multibiometrics / Ajay Kumar -- Prediction for fusion of biometrics systems / Rong Wang and Bir Bhanu -- Predicting performance in large-scale identification systems by score resampling / Sergey Tulyakov and Venu Govindaraju. |
| Summary | In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction. |
| Added Author | Bhanu, Bir, editor. Govindaraju, Venugopal, editor. |
| Subject | Biometric Identification. |
| Multimedia |
Total Ratings:
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$a In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction.
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| Summary | In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction. |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Contents | Multi-modal ear and face modeling and recognition / Steven Cadavid, Mohammad H. Mahoor, and Mohamed Abdel-Mottaleb -- Audiovisual speech synchrony detection by a family of bimodal linear prediction models / Kshitiz Kumar [and others] -- Multispectral contact-free palmprint recognition / Ying Hao, Zhenan Sun, and Tieniu Tan -- Face recognition under the skin / Pradeep Buddharaju and Ioannis Pavlidis -- Biometric authentication : a copula-based approach / Satish G. Iyengar, Pramod K. Varshney, and Thyagaraju Damarla -- An investigation into feature-level fusion of face and fingerprint biometrics / Ajita Rattani and Massimo Tistarelli -- Adaptive multibiometric systems / Luca Didaci, Gian Luca Marcialis, and Fabio Roli -- Multiple projector camera system for three-dimensional gait recognition / Koichiro Yamauchi, Bir Bhanu, and Hideo Saito -- Gait recognition using motion physics in a neuromorphic computing framework / Ricky J. Sethi, Amit K. Roy-Chowdhury, and Ashok Veeraraghavan -- Face tracking and recognition in a camera network / Ming Du, Aswin Sankaranarayanan and Rama Chellappa -- Bidirectional relighting for 3D-aided 2D face recognition / G. Toderici [and others] -- Acquisition and analysis of a dataset comprising of gait, ear and semantic data / Sina Samangooei [and others] -- Dynamic security management in multibiometrics / Ajay Kumar -- Prediction for fusion of biometrics systems / Rong Wang and Bir Bhanu -- Predicting performance in large-scale identification systems by score resampling / Sergey Tulyakov and Venu Govindaraju. |
| Subject | Biometric Identification. |
| Multimedia |