Soft Computing Approach to Pattern Recognition and Image Processing (Series in Machine Perception and Artificial Intelligence)

A collection of 16 articles containing reviews and material. In a unified way, they seek to describe the development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The text details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bioinformatics with a scope for future research. The contributors, from around the world, aim to present a balanced mixture of theory, algorithms and applications.