Handbook of Multibiometrics (Google eBook)

Front Cover
Springer, Aug 11, 2006 - Computers - 220 pages
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Reliable human authentication schemes are of paramount importance in our highly networked society. Advances in biometrics help address the myriad of problems associated with traditional human recognition methods. The performance and benefits of a biometric system can be significantly enhanced by consolidating the evidence presented by multiple biometric sources. Multibiometric systems are expected to meet the stringent performance requirements imposed by large-scale authentication systems. Handbook of Multibiometrics, a professional book, introduces multibiometric systems, and demonstrates the noteworthy advantages of these systems over their unimodal counterparts. In addition, this book describes in detail the various scenarios possible when fusing biometric evidence from multiple information sources. This comprehensive volume on multibiometric systems, concisely and clearly outlines the different fusion methodologies that have been proposed by researchers to integrate multiple biometric traits.
  

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Contents

BIOMETRICS WHEN IDENTITY MATTERS
1
12 Operation of a biometric system
5
13 Verification versus identification
8
14 Performance of a biometric system
10
15 Applications of biometrics
17
16 Biometric characteristics
19
17 Limitations of biometric systems
24
18 Biometric standards
29
35 Decision level fusion
73
36 Summary
82
SCORE LEVEL FUSION
91
42 Classifier combination rules
93
43 Score fusion techniques
98
44 Densitybased score fusion
99
45 Transformationbased score fusion
111
46 Classifierbased score fusion
124

19 Multibiometric systems
31
110 Summary
32
INFORMATION FUSION IN BIOMETRICS
36
22 Fusion in biometrics
40
23 Issues in designing a multibiometric system
42
24 Sources of multiple evidence
44
25 Acquisition and processing architecture
51
26 Levels of fusion
55
27 Summary
57
LEVELS OF FUSION IN BIOMETRICS
59
32 Sensor level fusion
60
33 Feature level fusion
64
34 Rank level fusion
70
47 Comparison of score fusion techniques
128
48 Userspecific score fusion
131
49 Summary
141
FUSION INCORPORATING ANCILLARY INFORMATION
143
53 Soft biometrics
159
54 Summary
172
Evaluation of multibiometric systems
173
A2 Issues in multibiometric system evaluation
174
A3 Multimodal biometric databases
176
References
179
Index
195
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