Allograph Based Writer Adaptation for Handwritten Character Recognition

Abstract : Writer adaptation is the process of converting a generic (writer-independent) handwriting recognizer into a personalized (writer-dependent) recognizer with improved accuracy for a particular user. While training the generic recognizer uses large amounts of data from several writers, the adaptation process uses only a few samples from a single user. In this paper we present a) an automatic approach for identifying allographs (character shapes/styles) from handwritten characters through clustering, b) a novel architecture for a personalizable recognizer that utilizes allograph information, and c) a kernel based approach for personalizing the recognizer. Using the new approach, personalization results with twenty one users indicate that handwritten single character recognition errors can be reduced by over 24% (or 41%) using as few as 5 (or 15) samples.
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Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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Soumis le : jeudi 9 novembre 2006 - 13:52:44
Dernière modification le : jeudi 9 novembre 2006 - 16:43:55
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  • HAL Id : inria-00112632, version 1

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Kumar Chellapilla, Patrice Simard, Ahmad Abdulkader. Allograph Based Writer Adaptation for Handwritten Character Recognition. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00112632〉

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