This introduction to pattern recognition features the parallel development of the statistical and structural approaches to the subject. A feature of the text is the emphasis placed upon pattern recognition techniques that model human perception.
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Serves as an introduction to the field of pattern recognition through a unique parallel development of statistical and structural approaches. Emphasizes techniques that model aspects of human perception. Emphasizes real-time algorithmic approaches with attention to the hardware aspects. Features comprehensive and critical coverage of edge direction, state machine, nearest neighbor and iterative learning methods. Introduces elementary concepts of sequential machine theory as applied to structural pattern recognition. Contains an extensive bibliography.
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