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Pattern Recognition, Machine Intelligence and Biometrics

  • Book
  • © 2011

Overview

Editors:
  1. Patrick S. P. Wang

    1. CCIS, Northeastern University, Boston, USA

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  • Wide applications in cross-disciplinary areas
  • Contributions cover both background and introductory information of the topic and the major research results
  • Collects 31 papers from top-ranked professionals all over the world in the field of PR/AI/Biometrics

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Table of contents (31 chapters)

  1. Front Matter

    Pages i-xxxix
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  2. Pattern Recognition and Machine Intelligence

    1. Front Matter

      Pages 1-1
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    2. A Review of Applications of Evolutionary Algorithms in Pattern Recognition

      • Luis Gerardo de la Fraga, Carlos A. Coello Coello
      Pages 3-28

    3. Pattern Discovery and Recognition in Sequences

      • Andrew K. C. Wong, Dennis Zhuang, Gary C. L. Li, En-Shiun Annie Lee
      Pages 29-59

    4. A Hybrid Method of Tone Assessment for Mandarin CALL System

      • Yang Qu, Xin He, Yue Lu, Patrick S P Wang
      Pages 61-80

    5. Fusion with Infrared Images for an Improved Performance and Perception

      • Zheng Liu, Wei Wu
      Pages 81-108

    6. Feature Selection and Ranking for Pattern Classification in Wireless Sensor Networks

      • Janos Csirik, Horst Bunke
      Pages 109-137

    7. Principles and Applications of RIDED-2D —A Robust Edge Detection Method in Range Images

      • Jian Wang, Zhenqiang Yao, Mingde Yin, Lin Mei, Yaojie Zhu, Quanzhang An et al.
      Pages 139-167

  3. Computer Vision and Image Processing

    1. Front Matter

      Pages 169-169
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    2. Lens Shading Correction for Dirt Detection

      • Chih-Wei Chen, Chiou-Shann Fuh
      Pages 171-195

    3. Using Prototype-Based Classification for Automatic Knowledge Acquisition

      • Petra Perner, Anja Attig
      Pages 197-212

    4. Tracking Deformable Objects with Evolving Templates for Real-Time Machine Vision

      • Elena Sánchez-Nielsen, Mario Hernández-Tejera
      Pages 213-235

    5. Human Extremity Detection for Action Recognition

      • Elden Yu, J. K. Aggarwal
      Pages 237-260

    6. Ensemble Learning for Object Recognition and Tracking

      • Mehrtash Harandi, Javid Taheri, Brian C. Lovell
      Pages 261-278

    7. Depth Image Based Rendering

      • Michael Schmeing, Xiaoyi Jiang
      Pages 279-310

  4. Face Recognition and Forensics

    1. Front Matter

      Pages 311-311
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    2. Gender and Race Identification by Man and Machine

      • Usman Tariq, Yuxiao Hu, Thomas S. Huang
      Pages 313-333

    3. Common Vector Based Face Recognition Algorithm

      • Ying Wen, Yue Lu, Pengfei Shi, Patrick S. P. Wang
      Pages 335-360

    4. A Look at Eye Detection for Unconstrained Environments

      • Brian C. Heflin, Walter J. Scheirer, Anderson Rocha, Terrance E. Boult
      Pages 361-387

    5. Kernel Methods for Facial Image Preprocessing

      • Weishi Zheng, Jianhuang Lai, Xiaohua Xie, Yan Liang, Pong C. Yuen, Yaoxian Zou
      Pages 389-409
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Keywords

About this book

"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics.
The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering.
Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.

Reviews

From the reviews:

“This book is a collection of 31 scientific papers organized in four main sections: ‘Pattern recognition and Machine Intelligence’, ‘Computer Vision and Image Processing’, ‘Face Recognition and Forensics’ and ‘Biometrics Authentication’. These chapters cover a broad domain making the book appealing to a large group of specialists.” (Leon Todoran, IAPR Newsletter, Vol. 34 (4), October, 2012)

Editors and Affiliations

  • CCIS, Northeastern University, Boston, USA

    Patrick S. P. Wang

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