Palmprint Authentication

by Zhang, David D.

• ISBN13: 9781402080968
• ISBN10: 1402080964
• Format: Hardcover
• Copyright: 2004-06-30
• Publisher: Springer Verlag

Summary

Palmprint Authentication is the first book to provide a comprehensive introduction to palmprint technologies. It reveals automatic biometric techniques for personal identification using palmprint, from the approach based on offline palmprint images, to the current state-of-the-art algorithm using online palmprint images. Palmprint Authentication provides the reader with a basic concept of Palmprint Authentication. It also includes an in-depth discussion of Palmprint Authentication technologies, a detailed description of Palmprint Authentication systems, and an up-to-date coverage of how these issues are developed. This book is suitable for different levels of readers: those who want to learn more about palmprint technology, and those who wish to understand, participate, and/or develop a palmprint authentication system. Palmprint Authentication is effectively a handbook for biometric research and development. Graduate students and researchers in computer science, electrical engineering, systems science, and information technology will all find it uniquely useful, not only as a reference book, but also as a text book. Researchers and practitioners in industry, and R&D laboratories working in the fields of security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also benefit from this volume.

Table of Contents

PREFACE	ix
ACKNOWLEDGEMENTS	xi
PART I INTRODUCTION AND BACKGROUND
Chapter 1 INTRODUCTION	3	(18)
1.1 Overview	3	(2)
1.2 Biometric Systems	5	(3)
1.3 Hand-Based Biometrics	8	(3)
1.4 Why Palmprint?	11	(6)
1.5 Arrangement of this Book	17	(4)
Chapter 2 PALMPRINT DATA	21	(16)
2.1 Palmprint Data Acquisition	21	(3)
2.2 Different Online Palmprint Acquisition Devices	24	(3)
2.3 Offline Palmprint Databases	27	(3)
2.4 Online Palmprint Databases	30	(3)
2.5 Summary	33	(4)
PART II OFFLINE METHODOLOGIES
Chapter 3 PALMPRINT PREPROCESSING	37	(12)
3.1 Introduction	37	(2)
3.2 Datum Point Registration	39	(5)
3.3 Inked Image Alignment	44	(2)
3.4 Experimental Result	46	(2)
3.5 Summary	48	(1)
Chapter 4 FEATURE EXTRACTION AND MATCHING	49	(12)
4.1 Line Features Extraction	49	(3)
4.2 Line Matching	52	(3)
4.3 Singular Point for Classification	55	(4)
4.4 Summary	59	(2)
Chapter 5 LAYERED IDENTIFICATION USING MULTIPLE FEATURES	61	(12)
5.1 Introduction	61	(1)
5.2 Coarse-level Classification	62	(3)
5.3 Fine-level Identification	65	(4)
5.4 Experimental Results	69	(1)
5.5 Summary	69	(4)
PART III ONLINE METHODOLOGIES
Chapter 6 PALMPRINT SEGMENTATION BY KEY POINT FEATURES	73	(12)
6.1 Square-Based Segmentation	73	(5)
6.2 Inscribed Circle-Based Segmentation	78	(2)
6.3 Comparison between two Segmentation Approaches	80	(2)
6.4 Summary	82	(3)
Chapter 7 TEXTURE FEATURE USING 2-D GABOR FILTERS	85	(14)
7.1 Texture Feature Extraction	85	(1)
7.2 Feature Matching	86	(1)
7.3 Parameter Selection and Performance Test	87	(6)
7.4 Experimental Results and Analysis	93	(4)
7.5 Summary	97	(2)
Chapter 8 LINE FEATURES EXTRACTION AND REPRESENTATION	99	(14)
8.1 Palm Line Feature Extraction	99	(3)
8.2 Line Matching Strategies	102	(3)
8.3 Experiments and Analysis	105	(6)
8.4 Summary	111	(2)
Chapter 9 LINEAR DISCRIMINATION FEATURE EXTRACTION	113	(16)
9.1 Definition: Fisherpalms	113	(4)
9.2 Analysis on Fisherpalms	117	(5)
9.3 Eigenpalms in Palmprint	122	(2)
9.4 Performance Analysis on Eigenpalms	124	(2)
9.5 Summary	126	(3)
Chapter 10 TRANSFORM-BASED PALMPRINT IMAGE ANALYSIS	129	(26)
10.1 Palmprint Analysis by Fourier Transform	129	(9)
10.2 Wavelet Signatures via Directional Context Modeling	138	(3)
10.3 Characterization of Palmprint by Wavelet Signatures	141	(9)
10.4 Identification Strategies and Experiments	150	(3)
10.5 Summary	153	(2)
Chapter 11 ONLINE PALMPRINT CLASSIFICATION	155	(14)
11.1 Online Palmprint Preprocessing	155	(5)
11.2 Principal Lines Extraction	160	(4)
11.3 Six Types of Palmprints	164	(2)
11.4 Experimental Results	166	(1)
11.5 Summary	167	(2)
Chapter 12 HIERARCHICAL PALMPRINT CODING WITH MULTI-FEATURES	169	(16)
12.1 Introduction	169	(3)
12.2 Hierarchical Palmprint Coding	172	(2)
12.3 Multiple Similarity Measurement	174	(2)
12.4 Hierarchical Palmprint Matching	176	(1)
12.5 Experimental Results	177	(5)
12.6 Summary	182	(3)
PART IV PALMPRINT A UTHENTICATION SYSTEM
Chapter 13 PALMPRINT ACQUISITION SYSTEM	185	(14)
13.1 System Requirements	185	(4)
13.2 Parameter Selection	189	(5)
13.3 System Performance Evaluation	194	(3)
13.4 Summary	197	(2)
Chapter 14 A PROTOTYPE DESIGN FOR CIVIL APPLICATIONS	199	(20)
14.1 Introduction	199	(1)
14.2 System Framework	200	(3)
14.3 Experimental Results	203	(4)
14.4 Performance Evaluation	207	(9)
14.5 Potential Applications	216	(2)
14.6 Summary	218	(1)
Chapter 15 BOOK REVIEW AND FUTURE WORK	219	(8)
15.1 Book Recapitulation	219	(4)
15.2 Future Work	223	(4)
REFERENCES	227	(10)
INDEX	237