This book addresses research issues regarding multibiometrics for human identification, examining their advantages and evaluation.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Part I. Multimodal and Multisensor Biometric Systems: 1. Multi-modal ear and face modeling and recognition Steven Cadavid, Mohammad H. Mahoor and Mohamed Abdel-Mottaleb; 2. Audio-visual speech synchrony detection by a family of bimodal linear prediction models Kshitiz Kumar, Gerasimos Potamianos, Jiri Navratil, Etienne Marcheret and Vit Libal; 3. Multi-spectral contact-free palmprint recognition Ying Hao, Zhenan Sun and Tieniu Tan; 4. Face recognition under the skin Pradeep Buddharaju and Ioannis Pavlidis; Part II. Fusion Methods in Multibiometric Systems: 5. Biometric authentication: a copula based approach Satish G. Iyengar, Pramod K. Varshney and Thyagaraju Damarla; 6. An investigation into feature level fusion of face and fingerprint biometrics Ajita Rattani and Massimo Tistarelli; 7. Adaptive multibiometric systems Luca Didaci, Gian Luca Marcialis and Fabio Roli; Part III. Hybrid Biometric Systems: 8. Multiple projector camera system for three-dimensional gait recognition Koichiro Yamauchi, Bir Bhanu and Hideo Saito; 9. Gait recognition using motion physics in a neuromorphic computing framework Ricky J. Sethi, Amit K. Roy-Chowdhury and Ashok Veeraraghavan; 10. Face tracking and recognition in a camera network Ming Du, Aswin Sankaranarayanan and Rama Chellappa; 11. Bi-directional relighting for 3D aided 2D face recognition G. Toderici, G. Passalis, T. Theoharis and I. A. Kakadiaris; Part IV. Databases and Security: 12. On acquisition and analysis of a dataset comprising of gait, ear and semantic data Sina Samangooei, John D. Bustard, Richard D. Seeley, Mark S. Nixon and John N. Carter; 13. Dynamic security management in multi-biometrics Ajay Kumar; Part V. Performance of Multibiometric Systems: 14. Prediction for fusion of biometrics systems Rong Wang and Bir Bhanu; 15. Predicting performance in large-scale identification systems by score re-sampling Sergey Tulyakov and Venu Govindaraju.
Part I. Multimodal and Multisensor Biometric Systems: 1. Multi-modal ear and face modeling and recognition Steven Cadavid, Mohammad H. Mahoor and Mohamed Abdel-Mottaleb; 2. Audio-visual speech synchrony detection by a family of bimodal linear prediction models Kshitiz Kumar, Gerasimos Potamianos, Jiri Navratil, Etienne Marcheret and Vit Libal; 3. Multi-spectral contact-free palmprint recognition Ying Hao, Zhenan Sun and Tieniu Tan; 4. Face recognition under the skin Pradeep Buddharaju and Ioannis Pavlidis; Part II. Fusion Methods in Multibiometric Systems: 5. Biometric authentication: a copula based approach Satish G. Iyengar, Pramod K. Varshney and Thyagaraju Damarla; 6. An investigation into feature level fusion of face and fingerprint biometrics Ajita Rattani and Massimo Tistarelli; 7. Adaptive multibiometric systems Luca Didaci, Gian Luca Marcialis and Fabio Roli; Part III. Hybrid Biometric Systems: 8. Multiple projector camera system for three-dimensional gait recognition Koichiro Yamauchi, Bir Bhanu and Hideo Saito; 9. Gait recognition using motion physics in a neuromorphic computing framework Ricky J. Sethi, Amit K. Roy-Chowdhury and Ashok Veeraraghavan; 10. Face tracking and recognition in a camera network Ming Du, Aswin Sankaranarayanan and Rama Chellappa; 11. Bi-directional relighting for 3D aided 2D face recognition G. Toderici, G. Passalis, T. Theoharis and I. A. Kakadiaris; Part IV. Databases and Security: 12. On acquisition and analysis of a dataset comprising of gait, ear and semantic data Sina Samangooei, John D. Bustard, Richard D. Seeley, Mark S. Nixon and John N. Carter; 13. Dynamic security management in multi-biometrics Ajay Kumar; Part V. Performance of Multibiometric Systems: 14. Prediction for fusion of biometrics systems Rong Wang and Bir Bhanu; 15. Predicting performance in large-scale identification systems by score re-sampling Sergey Tulyakov and Venu Govindaraju.
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