This book describes the pattern recognition and artificial intelligence in some of the basic theory and some related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov models, clustering technologies, combined with pattern recognition Some classical problems, such as character recognition, handwriting identification, face detection, license plate recognition, seals, and remote-sensing image recognition, medical image processing and other content, from a variety of different angles, introducing ideas of these problems. The most important feature of this book is that most of the issues for them are given based on the C / VC + +6.0 implementation of the code, and has a certain




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Visual c++数字图像模式识别技术及工程实践.pdf