“This book addresses the use of soft computing techniques for pattern recognition problems, starting with an interesting overview of how the conventional approach to pattern recognition differs from the soft computing approach. ... The book achieves a well-balanced treatment of theory, mathematics, and applications. Each chapter has a good number of references, and ... each includes interesting experimental results. ... this book would be useful for research scholars and scientists working in the field of pattern recognition.” (S. Ramakrishnan, Computing Reviews, March, 2013)

“The book presents the research work of the author regarding soft computing methods, such as fuzzy relational calculus, genetic algorithms and neural networks, for the tasks of pattern classification and occluded object recognition. ... The entire methodology is thoroughly tested on real-world applications and addresses researchers in pattern classification and computer vision.” (Catalin Stoean, Zentralblatt MATH, Vol. 1260, 2013)

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