Optical Character Recognition

As optical character recognition (OCR) begins to find applicationsranging from store checkout scanners to money-changing machines andpostal system automation, it has become one of the most dynamicareas in information science today. Yet few volumes explore thisdata-oriented process without relying heavily on mathematicalbackground reading.<br> <br> Now, Shunji Mori, Hirobumi Nishida, and Hiromitsu Yamada, among thefield’s most respected researchers since its inception, presentthis self-contained, clearly written guidebook to OCR–the firstcomprehensive treatment of the preprocessing, feature-extraction,and systematic description-matching stages of the OCR process.Including a wealth of original research material available here forthe first time, this book is both an ideal professional referencesource and an excellent entry point for course work in thesubject.<br> <br> Key features of Optical Character Recognition:<br> * Theoretical framework based on functional analysis–notpreviously available in a detailed, English-language version<br> * Extensive explanation of preprocessing theory, including blurringand sampling, normalization, thinning, and binary and gray-scalemorphology<br> * Intensive section on feature extraction, exploring linearmethods, structure analysis, and algebraic description<br> * Original work on systematic shape description as a prerequisiteto matching<br> * Original material on elastic matching, including imagerecognition of characters and objects<br> * Requires only the standard undergraduate requisites of algebra,linear algebra, and advanced calculus