Encyclopedia of Biometrics: I - Z., Volume 1

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Stan Z. Li, Anil K. Jain
Springer Science & Business Media, Aug 27, 2009 - Computers - 1433 pages
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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.

 

 

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This book is giving basic understanding of human biometrics and their utilization in real time computer
applications like personal identification in offices or workplace, business application
, crime analysis and other applicaitons
By Dr. Pamidi Srinivasulu, Professor, MIC College of Technology, Kanchikacherla, Vijayawada, Andhra Pradesh, India
 

Selected pages

Contents

A
1
B
49
C
175
D
209
E
233
F
291
G
627
H
667
N
1001
O
1009
P
1027
Q
1107
R
1109
S
1133
T
1315
U
1349

I
715
J
875
K
877
L
883
M
953
V
1369
W
1397
X
1409
Z
1411
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About the author (2009)

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.

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