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Title Multibiometrics for human identification / edited by Bir Bhanu, Venu Govindaraju.

Imprint Cambridge ; New York : Cambridge University Press, 2011.

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Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource (xiv, 388 pages, [4] pages of plates) : illustrations (some color)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
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"-- Provided by publisher.
Bibliography Includes bibliographical references.
Note Print version record.
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.
Cover; Multibiometrics for Human Identification; Title; Copyright; Contents; List of Contributors; Preface; Introduction; Part I: Multimodal and Multisensor Biometric Systems; Part II: Fusion Methods in Multibiometric Systems; Part III: Hybrid Biometric Systems; Part IV: Databases and Security; Part V: Performance of Multibiometric Systems; PART I: Multimodal and Multisensor Biometric Systems; 1 Multimodal Ear and Face Modeling and Recognition; 1.1 Introduction; 1.2 Related Work; 1.2.1 3D Ear Recognition; 1.2.2 2D Face Recognition; 1.2.3 Multimodal Ear and Face Recognition.
1.3 3D Ear Modeling and Recognition Using Shape from Shading1.3.1 Linear Shape from Shading; 1.3.2 Similarity Accumulator; 1.3.3 3D Model Selection; 1.3.4 Recognition Process; 1.4 2D Face Recognition Using Gabor Features; 1.5 Data Fusion; 1.6 Experiments and Results; 1.7 Conclusions and Future Work; Appendix; References; 2 Audiovisual Speech Synchrony Detection by a Family ofBimodal Linear Prediction Models; 2.1 Introduction; 2.2 The Mutual Information-Based Approach; 2.3 The Hypothesis Testing-Based Approach; 2.4 Time Evolution-Based Bimodal Linear Prediction.
2.5 Generalized Bimodal Linear Prediction2.6 Audiovisual Feature Pair Selection; 2.7 Experimental Setup; 2.8 Experimental Results; 2.8.1 "System-1" Results of BLPC-1; 2.8.2 "System-2" Results of BLPC-1; 2.8.3 Proposed BLPC-1 versus Baseline Approaches; 2.8.4 AV Synchrony Detection for Misaligned AV Streams; 2.9 Discussion; 2.10 Conclusions; References; 3 Multispectral Contact-Free Palmprint Recognition; 3.1 Introduction; 3.2 Image Acquisition; 3.3 Preprocessing; 3.3.1 Camera Deformation Correction; 3.3.2 Central Palm Region Localization; 3.4 Image Registration; 3.5 Image Fusion.
3.5.1 Pixel-Level Fusion3.5.2 Matching Score-Level Fusion; 3.6 Experiments; 3.6.1 Baseline Performances; 3.6.2 Division of Wavelengths; 3.6.3 Pixel-Level Fusion; 3.6.4 Matching Score-Level Fusion; 3.7 Conclusion; References; 4 Face Recognition under the Skin; 4.1 Introduction; 4.2 Methodology; 4.2.1 Face Segmentation; 4.2.2 Blood Vessel Segmentation; 4.3 Vessel Segmentation Post-Processing; 4.4 Vascular Network Matching; 4.4.1 Registration of Vascular Networks; 4.4.2 Face Pose Estimation; 4.5 Experiments; 4.5.1 Experiments on the University of Houston Database.
4.5.1.1 Facial Expression Dataset4.5.1.2 Facial Pose Dataset; 4.5.2 Experiments on the University of Notre Dame Database; 4.5.3 Experiments on the University of Arizona Database; 4.6 Conclusions; Acknowledgments; References; PART II: Fusion Methods in Multibiometric Systems; 5 Biometric Authentication: A Copula-Based Approach; 5.1 Introduction; 5.2 Fusion of Multibiometrics; 5.3 Statistical Modeling of Heterogeneous Biometric Data; 5.3.1 Copula Theory and Its Implications; 5.4 Copula-Based Multibiometric Fusion; 5.4.1 Log-Likelihood Ratio Test Based on Copulas (LLRT-cop).
Subject Biometric identification.
COMPUTERS -- Computer Graphics.
COMPUTERS -- Optical Data Processing.
Biometric identification. (OCoLC)fst00832607
Genre/Form Electronic books.
Added Author Bhanu, Bir.
Govindaraju, Venugopal.
Other Form: Print version: Multibiometrics for human identification. Cambridge ; New York : Cambridge University Press, 2011 9780521115964 (DLC) 2011002441 (OCoLC)671709882
ISBN 9781139101363 (electronic bk.)
1139101366 (electronic bk.)
9780511921056 (electronic bk.)
0511921055 (electronic bk.)
1139099345 (electronic bk.)
9781139099349 (electronic bk.)
1283341751
9781283341752
9781139100700
113910070X
9780521115964
0521115965
Standard No. AU@ 000049145953
AU@ 000053278393
DEBSZ 372820107
DEBSZ 379324229

 
    
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