本書介紹廣泛應(yīng)用的人工智能技術(shù)——模式識別及其應(yīng)用的最新進(jìn)展，收集了世界一流的模式識別、人工智能和生物特征識別技術(shù)領(lǐng)域?qū)＜揖帉懙?1章內(nèi)容，涵蓋模式識別與機(jī)器智能、計(jì)算機(jī)視覺與圖像處理、人臉識別與取證、生物特征身份驗(yàn)證等多方面結(jié)合的研究。其應(yīng)用跨越多個(gè)領(lǐng)域，從工程、科學(xué)研究和實(shí)驗(yàn)，到生物醫(yī)學(xué)和醫(yī)學(xué)診斷，再到身份認(rèn)證和國土安全。此外，《本書還介紹了人類行為的計(jì)算機(jī)建模和仿真。
　　本書是計(jì)算機(jī)與信息類以及通信與控制類專業(yè)研究生和相關(guān)研究人員的必備參考書。
　　P0trckS.P.Wang（王申培）美國東北大學(xué)教授，上海華東師大紫江學(xué)者，臺灣科技大學(xué)客座教授。

關(guān)鍵詞：模式識別，人工智能，生物識別、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