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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 83))

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Abstract

Handprinted characters have to be rastered before processing in a digital computer. Classifications of these data give poor results without preprocessing methods. Different techniques have been tested to find out what could lead to an improvement in recognition rate with a given classification system consisting of Loève-Karhunen feature extractor and Bayes classificator. Non linear preprocessing by local operations has been investigated as well as global techniques using geometric transformations. All methods have been tested with a character set of 560 members per class. Combinations of different techniques will also be discussed.

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Literatur

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© 1973 Springer-Verlag Berlin · Heidelberg

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Güdesen, A. (1973). Vorverarbeitung handgeschriebener gerasterter Ziffern. In: Einsele, T., Giloi, W., Nagel, HH. (eds) NTG/GI Gesellschaft für Informatik Nachrichtentechnische Gesellschaft Fachtagung „Cognitive Verfahren und Systeme“. Lecture Notes in Economics and Mathematical Systems, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80749-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-80749-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-06268-4

  • Online ISBN: 978-3-642-80749-7

  • eBook Packages: Springer Book Archive

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