本书介绍广泛应用的人工智能技术——模式识别及其应用的最新进展，收集了世界一流的模式识别、人工智能和生物特征识别技术领域专家编写的31章内容，涵盖模式识别与机器智能、计算机视觉与图像处理、人脸识别与取证、生物特征身份验证等多方面结合的研究。其应用跨越多个领域，从工程、科学研究和实验，到生物医学和医学诊断，再到身份认证和国土安全。此外，《本书还介绍了人类行为的计算机建模和仿真。
　　本书是计算机与信息类以及通信与控制类专业研究生和相关研究人员的必备参考书。
　　P0trckS.P.Wang（王申培）美国东北大学教授，上海华东师大紫江学者，台湾科技大学客座教授。

关键词：模式识别，人工智能，生物识别、信息安全。

Part I: Pattern Recognition and Machine Intelligence
　1 A Review of Applications of Evolutionary Algorithms in PatternRecognition
　　1.1 Introduction
　　1.2 Basic Notions of Evolutionary Algorithms
　　1.3 A Review of EAs in Pattern Recognition
　　1.4 Future Research Directions
　　1.5 Conclusions
　　References
　2 Pattern Discovery and Recognition in Sequences
　　2.1 Introduction
　　2.2 Sequence Patterns and Pattern Discovery-A Brief Review.
　　2.3 Our Pattern Discovery Framework
　　2.4 Conclusion
　　References
　3 A Hybrid Method of Tone Assessment for Mandarin CALLSystem

Part I: Pattern Recognition and Machine Intelligence
　1 A Review of Applications of Evolutionary Algorithms in PatternRecognition
　　1.1 Introduction
　　1.2 Basic Notions of Evolutionary Algorithms
　　1.3 A Review of EAs in Pattern Recognition
　　1.4 Future Research Directions
　　1.5 Conclusions
　　References
　2 Pattern Discovery and Recognition in Sequences
　　2.1 Introduction
　　2.2 Sequence Patterns and Pattern Discovery-A Brief Review.
　　2.3 Our Pattern Discovery Framework
　　2.4 Conclusion
　　References
　3 A Hybrid Method of Tone Assessment for Mandarin CALLSystem
　　3.1 Introduction
　　3.2 Related Work
　　3.3 Proposed Approach
　　3.4 Experimental Procedure and Analysis
　　3.5 Conclusions
　　References
　4 Fusion with Infrared Images for an Improved Performance andPerception
　　4.1 Introduction
　　4.2 The Principle of Infrared Imaging
　　4.3 Fusion with Infrared Images
　　4.4 Applications
　　4.5 Summary
　　References
　5 Feature Selection and Ranking for Pattern Classification inWireless Sensor Networks
　　5.1 Introduction
　　5.2 General Approach
　　5.3 Sensor Ranking
　　5.4 Experiments
　　5.5 Summary, Discussion and Conclusions
　　References
　6 Principles and Applications of RIDED-2D-A Robust Edge DetectionMethod in Range Images
　　6.1 Introduction
　　6.2 Definitions and Analysis
　　6.3 Principles of Instantaneous Denoising and EdgeDetection
　　6.4 Experiments and Evaluations
　　6.5 Discussions and Applications
　　6.6 Conclusions and Prospects
　　References
　……
Part Ⅱ: Computer Vision and Image Processing Lens ShadingCorrection for Dirt Detection
Part Ⅲ：Face Recognition and Forensics
PartⅣ：Biometric Authentication