Advances in Biometric Person Authentication

1. Front Matter

   PDF

2. Biometrics

   1. Biometrics: When Identity Matters

      • Arun Ross, Anil K. Jain

      Pages 1-2

   2. Face Recognition: Technical Challenges and Research Directions

      • Stan Z. Li

      Pages 3-3

   3. Fingerprints: Recognition, Performance Evaluation and Synthetic Generation

      • Raffaele Cappelli

      Pages 4-4

   4. Recognising Persons by Their Iris Patterns

      • John Daugman

      Pages 5-25

   5. Multiple Classifier Fusion for Biometric Authentication

      • Josef Kittler

      Pages 26-26

   6. Performance Evaluation in 1 : 1 Biometric Engines

      • Ruud M. Bolle, Nalini K. Ratha, Sharath Pankanti

      Pages 27-46

3. Best Performing Biometric Engines

   1. Discussions on Some Problems in Face Recognition

      • Xiaoqing Ding, Chi Fang

      Pages 47-56

   2. Improving Fingerprint Recognition Performance Based on Feature Fusion and Adaptive Registration Pattern

      • Jie Tian, Yuliang He, Xin Yang, Liang Li, XinJian Chen

      Pages 57-66

   3. Iris Recognition Based on Non-local Comparisons

      • henan Sun, Tieniu Tan, Yunhong Wang

      Pages 67-77

   4. Palmprint Authentication Technologies, Systems and Applications

      • David Zhang, Guangming Lu, Adams Wai-Kin Kong, Michael Wong

      Pages 78-89

4. Face Recognition

   1. Face Localization

      1. Novel Face Detection Method Based on Gabor Features

         • Jie Chen, Shiguang Shan, Peng Yang, Shengye Yan, Xilin Chen, Wen Gao

         Pages 90-99

      2. Optimal Shape Space and Searching in ASM Based Face Alignment

         • Lianghua He, Stan. Z Li, Jianzhong Zhou, Li Zhao, Cairong Zou

         Pages 100-109

      3. Gabor Wavelet-Based Eyes and Mouth Detection Algorithm

         • Xiangping Wang, Xingming Zhang

         Pages 110-117

      4. An Entropy-Based Diversity Measure for Classifier Combining and Its Application to Face Classifier Ensemble Thinning

         • Wenyao Liu, Zhaohui Wu, Gang Pan

         Pages 118-124

      5. Estimating the Visual Direction with Two-Circle Algorithm

         • Haiyuan Wu, Qian Chen, Toshikazu Wada

         Pages 125-136

      6. Multiple Face Contour Detection Using Adaptive Flows

         • Fuzhen Huang, Jianbo Su

         Pages 137-143

   2. Pose Estimation

      1. Pose Normalization Using Generic 3D Face Model as a Priori for Pose-Insensitive Face Recognition

         • Xiujuan Chai, Shiguang Shan, Wen Gao, Xin Liu

         Pages 144-152

      2. Gabor-Based Kernel Fisher Discriminant Analysis for Pose Discrimination

         • Jiada Chen, Jianhuang Lai, Guocan Feng

         Pages 153-161

      3. Robust Pose Estimation of Face Using Genetic Algorithm

         • Chao Zhanga, Guocan Feng, Jianhuang Lai

         Pages 162-171

Following the previous four annual conferences, the 5th Chinese Conference on Biometrics Recognition (Sinobiometrics 2004) was held in Guangzhou, China in December 2004. The conference this year was aimed at promoting the international exchange of ideas and providing an opportunity for keeping abreast of the latest developments in biometric algorithms, systems, and applications. The 1st Biometrics Verification Competition (BVC) on face, iris, and fingerprint recognition was also conducted in conjunction with the conference. This book is composed of 74 papers presented at Sinobiometrics 2004, contributed by researchers and industrial practitioners from Korea, Japan, Singapore, Hong Kong, France, UK, US, as well as China. Of these, 60 papers were selected from 140 submissions and 14 were invited. The papers not only presented recent technical advances, but also addressed issues in biometric system design, standardization, and applications. Included among the invited were four feature papers on the ideas and algorithms of the best-performing biometric engines, which were either competition winners at the Face Authentication Test (FAT) 2004 or the Fingerprint Verification Competition (FVC) 2004, or they were the best-performing iris and palmprint recognition algorithms. The papers were complemented by five keynote lectures on biometrics, and face, fingerprint, and iris authentication and multimodal fusion by Arun Ross (West Virginia University) and Anil K. Jain (Michigan State University), Josef Kittler (University of Surrey), John Daugman (University of Cambridge), Raffaele Cappelli (University of Bologna), and Stan Z. Li (Chinese Academy of Sciences).

• 3D
• 3D Surface Reconstruction
• 3D face reconstruction
• Alignment
• Performance
• biometric person authentication
• biometric recognition
• biometric systems
• biometrics
• classification
• face recognition
• fingerprint recognition
• iris recognition
• palmprint recognition
• speech recognition

• Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,  

  Stan Z. Li

• Department of Electronics & Communication Engineering, Sun Yat-Sen University, Guangzhou, China

  Jianhuang Lai

• National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

  Tieniu Tan

• Center of Computer Vision, School of Mathematics and Computing Science, Sun Yat-sen University, Guangzhou, China

  Guocan Feng

• School of Computer Science and Engineering, Beihang University, Beijing, China

  Yunhong Wang

Policies and ethics