Encyclopedia of Biometrics
Description
Biometrics refers to automated methods of recognizing a person based on physiological or behavioral characteristics. Among the features measured are face, fingerprints, hand geometry, handwriting, iris, retina, vein, and voice.
With an A-Z format, the comprehensive Encyclopedia of Biometrics provides easy access to relevant information on all aspects of biometrics for those seeking entry into the broad field of biometrics. The Encyclopedia is composed of approximately 250 entries, covering all areas of Biometrics including the following:
Biometric Modalities:
Face
Fingerprint
Iris and Retina
Palmprint
Hand Geometry
Vein
Signature
Gait
Voice
Ear
Keystroke
Multimodality
Lip-reading
Odor
Skull
Teeth
DNA
Biometric Systems and Applications:
System Design
Sensors
Liveness and Security
Performance Evaluation
Applications
Non-Technical Issues (Privacy, Societal etc.)
Standardization
Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information on any given topic. The style of the entries in the Encyclopedia of Biometrics is expository and tutorial, making the book a practical resource for experts in the field as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.
A minimum of 250 topic entries based on principles including: (1) wide list coverage; (2) minimized overlapping among topics. Editorial Board members are proposing approximately 20 topic entries in his/her areas, with a total near 400.
Reviews / Votes
From the reviews:
"A massive encyclopedia devoted to the study of security systems. . most of the entries contain references to further reading if you need to go into greater depth on any individual topic. . the layout is good and the cross-referencing is very clear . . Anyone with an interest in the mechanics of security systems will find this to be their best starting-point. . The editor and contributors should be congratulated. . Libraries of security agencies, etc. will obviously want a copy." (Martin Guha, Reference Reviews, Vol. 24 (5), 2010)
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Persons
Stan Z. Li, Ph.D. (Surrey University, UK) is currently a professor at National Laboratory of Pattern Recognition (NLPR), the director of Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA); and co-director of Joint Laboratory for Intelligent Surveillance and Identification in Civil Aviation (CASIA-CAUC). His research interest includes pattern recognition and machine learning, image and vision processing, face recognition, biometrics, and intelligent video surveillance. He has published over 200 papers in international journals and conferences, and authored and edited 5 books including "Markov Random Field Modeling in Image Analysis" (Springer, 1st edition in 1995 and 2nd edition in 2001). He is currently an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence and has been actively participating in organizing a number of international conferences and workshops in the fields of his research interest.