To purchase hard copies of this book, please email:
orders@intechopen.com
By only printing on demand InTech ensures our carbon footprint is kept to a minimum.
The data below shows the environmental impact of printing one single book:
45.31 kg wood
2.44 g CO2
41.14 ml Water
Share this page
State of the art in Biometrics
Edited by Jucheng Yang and Loris Nanni, ISBN 978-953-307-489-4, Hard cover, 314 pages, Publisher: InTech, Published: July 27, 2011 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
DOI: 10.5772/971
Biometric recognition is one of the most widely studied problems in computer science. The use of biometrics techniques, such as face, fingerprints, iris and ears is a solution for obtaining a secure personal identification. However, the “old†biometrics identification techniques are out of date. This goal of this book is to provide the reader with the most up to date research performed in biometric recognition and descript 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. 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
This book is indexed in:
Book contents
- Chapter 1Fingerprint Quality Analysis and Estimation Approach for Fingerprint Matching
- Chapter 2Fingerprint Matching using A Hybrid Shape and Orientation Descriptor
- Chapter 3Fingerprint Spoof Detection By NIR Optical Analysis
- Chapter 4Optical spatial-frequency correlation system for fingerprint recognition
- Chapter 5On the Introduction of Secondary Fingerprint Classification
- Chapter 6Biologically Inspired Processing for Lighting Robust Face Recognition
- Chapter 7Temporal Synchronization and Normalization of Speech Videos for Face Recognition
- Chapter 8Personal Identity Recognition Approach Based on Iris Pattern
- Chapter 9The State-of-the-Art in Iris Biometric Cryptosystems
- Chapter 10Iris Pattern Classification Combining Orientation Recognition
- Chapter 11Gabor-Based RCM Features for Ear Recognition
- Chapter 12Bi-Modality Anxiety Emotion Recognition with PSO-CSVM
- Chapter 13Design approach to improve Kansei Quality based on Kansei Engineering
- Chapter 14Efficiency of Biometric integration with Salt Value at an Enterprise Level and Data Centres
- Chapter 15Chaos-based biometrics template protection and secure authentication
