Yang J., Nanni L. (eds.) State of the Art in Biometrics
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STATE OF THE ART
IN BIOMETRICS
Edited by Jucheng Yang and Loris Nanni
State of the Art in Biometrics
Edited by Jucheng Yang and Loris Nanni
Published by InTech
Janeza Trdine 9, 51000 Rijeka, Croatia
Copyright © 2011 InTech
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Image Copyright mashe, 2010. Used under license from Shutterstock.com
First published July, 2011
Printed in Croatia
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State of the Art in Biometrics, Edited by Jucheng Yang and Loris Nanni
p. cm.
ISBN 978-953-307-489-4
free online editions of InTech
Books and Journals can be found at
www.intechopen.com
Contents
Preface IX
Part 1 Fingerprint Recognition 1
Chapter 1 Fingerprint Quality Analysis and
Estimation for Fingerprint Matching 3
Shan Juan Xie, JuCheng Yang, Dong Sun Park,
Sook Yoon and Jinwook Shin
Chapter 2 Fingerprint Matching using A Hybrid Shape and Orientation
Descriptor 25
Joshua Abraham, Paul Kwan and Junbin Gao
Chapter 3 Fingerprint Spoof Detection Using
Near Infrared Optical Analysis 57
Shoude Chang, Kirill V. Larin, Youxin Mao,
Costel Flueraru and Wahab Almuhtadi
Chapter 4 Optical Spatial-Frequency Correlation System
for Fingerprint Recognition 85
Hiroyuki Yoshimura
Chapter 5 On the Introduction
of Secondary Fingerprint Classification 105
Ishmael S. Msiza, Jaisheel Mistry, Brain Leke-Betechuoh,
Fulufhelo V. Nelwamondo and Tshilidzi Marwala
Part 2 Face Recognition 121
Chapter 6 Biologically Inspired Processing
for Lighting Robust Face Recognition 123
Ngoc-Son Vu and Alice Caplier
Chapter 7 Temporal Synchronization and Normalization
of Speech Videos for Face Recognition 143
Usman Saeed and Jean-Luc Dugelay
VI Contents
Part 3 Iris Recognition 161
Chapter 8 Personal Identity Recognition
Approach Based on Iris Pattern 163
Qichuan Tian, Hua Qu, Lanfang Zhang and Ruishan Zong
Chapter 9 The State-of-the-Art in Iris Biometric Cryptosystems 179
Christian Rathgeb and Andreas Uhl
Chapter 10 Iris Pattern Classification
Combining Orientation Recognition 203
Hironobu Takano and Kiyomi Nakamura
Part 4 Other Biometrics 219
Chapter 11 Gabor-Based RCM Features for Ear Recognition 221
Ali Pour Yazdanpanah and Karim Faez
Chapter 12 Bi-Modality Anxiety Emotion
Recognition with PSO-CSVM 235
Ruihu Wang and Bin Fang
Chapter 13 Design Approach to Improve Kansei Quality
Based on Kansei Engineering 249
Nam-Gyu Kang
Part 5 Biometrics Security 265
Chapter 14 Efficiency of Biometric Integration with Salt Value
at an Enterprise Level and Data Centres 267
Bhargav Balakrishnan
Chapter 15 Chaos-Based Biometrics Template
Protection and Secure Authentication 293
Xiaomin Wang, Taihua Xu and Wenfang Zhang
Preface
Biometric recognition is one of the most widely studied problems in computer science.
The use of biometrics techniques, such as face, fingerprints, iris, ears, is a solution for
obtaining a secure personal identification. However, the “old” biometrics
identification techniques are out of date.
The goal of this book is to provide the reader with the most up to date research
performed in biometric recognition and to describe some novel methods of biometrics,
emphasis on the state of the art skills.
The book consists of 15 chapters, each focusing on a most up to date issue. The
chapters are divided into five sections- fingerprint recognition, face recognition, iris
recognition, other biometrics and biometrics security. Section 1 collects five chapters
on fingerprint recognition. Chapter 1 provides an effective fingerprint quality
estimation approach in consideration of feature analysis for fingerprint quality
estimation. In Chapter 2 the authors propose a novel hybrid shape and orientation
descriptor that is designed for fingerprint matching. Chapter 3 gives a combined
software-hardware approach to defeat fingerprint spoofing attack, and two methods
are presented based on analyzing different optical properties by using optical
coherence tomography (OCT) technology and the spectral analysis. In Chapter 4 the
authors describe an optical information processing system for biometric authentication
using the optical spatial-frequency correlation (OSC) system for the biometric
authentication. Chapter 5 demonstrates that the concept of secondary fingerprint
classification is feasible and consistent, and uses it to build an additional component
into a fingerprint classification.
In the section 2 of face recognition, Chapter 6 gives a novel illumination normalization
method simulating the performance of retina by combining two adaptive nonlinear
functions, a difference of Gaussian filter and a truncation. In Chapter 7 the authors
present a novel method of handling the variation caused by lip motion during speech
by using temporal synchronization and normalization based on lip motion. Section 3 is
a group of iris recognition articles, Chapter 8 presents an iris recognition system based
on Local Binary Pattern (LBP) features extraction and selection from multiple images,
in which stable features are selected to describe the iris identity while the unreliable
feature points are labeled in enrolment template. In Chapter 9 a comprehensive
X Preface
overview of the state-of-the-art in iris biometric cryptosystems is given. After
discussing the fundamentals of iris recognition and biometric cryptosystems, existing
key concepts are reviewed and implementations of different variations of iris-based
fuzzy commitment are presented. Chapter 10 introduces an iris recognition method
using the characteristics of orientation.
In the section of other biometrics, Gabor-Based Region covariance matrix (RCM)
Features for Ear Recognition is proposed in Chapter 11. In Chapter 12 a fusion method
for facial expression and gesture recognition to build a surveillance system by using
Particle Swarm Optimization (PSO) and Cascaded SVMs (CSVM) classification is
proposed. Chapter 13 examines the role and potential of Kansei and Kansei quality
using Kansei engineering case studies, and introduces three case studies to improve
Kansei quality in system design. In the last section of biometrics security, Chapter 14
deals with enhancing the efficiency of biometric by integrating it with salt value and
encryption algorithms. In Chapter 15 the authors present a novel chaos-based
biometrics template protection with secure authentication scheme.
The book was reviewed by editors Dr. Jucheng Yang and Dr. Loris Nanni. We deeply
appreciate the efforts of our guest editors: Dr. Girija Chetty, Dr. Norman Poh, Dr.
Jianjiang Feng, Dr. Dongsun Park and Dr. Sook Yoon, as well as a number of
anonymous reviewers.
Dr. Jucheng Yang
Professor
School of Information Technology
Jiangxi University of Finance and Economics
Nanchang, Jiangxi province
China
Dr. Loris Nanni
Ph.D in Computer Engineering
Associate researcher
Department of Information Engineering
University of Padua
Italy