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CONTENTS |
6 |
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PREFACE |
10 |
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ACKNOWLEDGEMENTS |
12 |
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PART I INTRODUCTION AND BACKGROUND |
14 |
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1 INTRODUCTION |
15 |
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1.1 Overview |
15 |
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1.2 Biometric Systems |
17 |
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1.3 Hand-Based Biometrics |
20 |
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1.4 Why Palmprint? |
23 |
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1.5 Arrangement of this Book |
29 |
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2 PALMPRINT DATA |
33 |
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2.1 Palmprint Data Acquisition |
33 |
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2.2 Different Online Palmprint Acquisition Devices |
36 |
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2.3 Offline Palmprint Databases |
39 |
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2.4 Online Palmprint Databases |
42 |
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2.5 Summary |
45 |
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PART II OFFLINE METHODOLOGIES |
48 |
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3 PALMPRINT PREPROCESSING |
49 |
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3.1 Introduction |
49 |
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3.2 Datum Point Registration |
51 |
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3.3 Inked Image Alignment |
56 |
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3.4 Experimental Result |
58 |
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3.5 Summary |
60 |
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4 FEATURE EXTRACTION AND MATCHING |
61 |
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4.1 Line Feature Extraction |
61 |
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4.2 Line Matching |
64 |
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4.3 Singular Point for Classification |
67 |
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4.4 Summary |
71 |
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5 LAYERED IDENTIFICATION USING MULTIPLE FEATURES |
73 |
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5.1 Introduction |
73 |
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5.2 Coarse-level Classification |
74 |
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5.3 Fine- level Identification |
77 |
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5.4 Experimental Results |
81 |
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5.5 Summary |
81 |
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PART III ONLINEMETHODOLOGIES |
84 |
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6 PALMPRINT SEGMENTATION BY KEY POINT FEATURES |
85 |
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6.1 Square-Based Segmentation |
85 |
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6.2 Inscribed Circle-Based Segmentation |
90 |
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6.3 Comparison between two Segmentation Approaches |
92 |
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6.4 Summary |
94 |
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7 TEXTURE FEATURE USING 2-D GABOR FILTERS |
97 |
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7.1 Texture Feature Extraction |
97 |
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7.2 Feature Matching |
98 |
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7.3 Parameter Selection and Performance Test |
99 |
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7.4 Experimental Results and Analysis |
105 |
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7.5 Summary |
109 |
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8 LINE FEATURES EXTRACTION AND REPRESENTATION |
111 |
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8.1 Palm Line Feature Extraction |
111 |
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8.2 Line Matching Strategies |
114 |
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9 LINEAR DISCRIMINATION FEATURE EXTRACTION |
125 |
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9.1 Definition: Fisherpalms |
125 |
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9.2 Analysis on Fisherpalms |
129 |
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9.3 Eigenpalms in Palmprint |
134 |
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9.4 Performance Analysis on Eigenpalms |
136 |
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9.5 Summary |
138 |
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10 TRANSFORM-BASED PALMPRINT IMAGE ANALYSIS |
141 |
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10.1 Palmprint Analysis by Fourier Transform |
141 |
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10.2 Wavelet Signatures via Directional Context Modeling |
150 |
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10.3 Characterization of Palmprint by Wavelet Signatures |
153 |
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10.4 Identification Strategies and Experiments |
162 |
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11 ONLINE PALMPRINT CLASSIFICATION |
167 |
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11.1 Online Palmprint Preprocessing |
167 |
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11.2 Principal Lines Extraction |
172 |
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11.3 Six Types of Palmprints |
176 |
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11.4 Experimental Results |
178 |
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11.5 Summary |
179 |
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12 HIERARCHICAL PALMPRINT CODING WITH MULTI-FEATURES |
181 |
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12.1 Introduction |
181 |
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12.2 Hierarchical Palmprint Coding |
184 |
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12.3 Multiple Similarity Measurement |
186 |
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12.4 Hierarchical Palmprint Matching |
188 |
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12.5 Experimental Results |
189 |
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12.6 Summary |
194 |
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PART IV PALMPRINT AUTHENTICATION SYSTEM |
196 |
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13 PALMPRINT ACQUISITION SYSTEM |
197 |
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13.1 System Requirements |
197 |
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13.2 Parameter Selection |
201 |
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13.3 System Performance Evaluation |
206 |
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13.4 Summary |
209 |
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14 A PROTOTYPE DESIGN FOR CIVIL APPLICATIONS |
211 |
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14.1 Introduction |
211 |
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14.2 System Framework |
212 |
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14.3 Experimental Results |
215 |
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14.4 Performance Evaluation |
219 |
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14.5 Potential Applications |
228 |
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14.6 Summary |
230 |
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15 BOOK REVIEW AND FUTURE WORK |
231 |
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15.1 Book Recapitulation |
231 |
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15.2 Future Work |
235 |
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REFERENCES |
239 |
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INDEX |
249 |
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More eBook at www.ciando.com |
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