Pattern Recognition (2 e)Practitioners developing and exploring pattern recognition systems in a variety of applications, such as speech recognition, optical character recognition, image processing, or signal analysis, encounter embarrassing scenes that require the extraction of numerous available techniques. This unique textbook and reference book provides an in-depth and systematic description of the main topics of todays pattern recognition to provide the best information for solving given problems. In addition, the revised edition focuses on the classification of patterns and recent technological changes, transforming the past, which has been regarded as classic in the field of patterns for more than half a century, into more practical books. The main features of this book are as - A clear description of all the new methods including classical methods and neural networks, stochastic methods, genetic algorithms, and learning theories. - Various concepts Over 350 examples that emphasize pattern recognition - many examples - pseudocode of pattern recognition algorithms - practice exercises tailored to the body - computer practice exercises associated with the body - specific pattern recognition And algorithms for describing learning techniques - Historical and critical references at the end of each chapter - An appendix describing the mathematical background needed