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Conference papers
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.
Cited literature [11 references]
https://hal.inria.fr/inria-00112632
Contributor : Anne Jaigu <>
Submitted on : Thursday, November 9, 2006 - 1:52:44 PM
Last modification on : Thursday, November 9, 2006 - 4:43:55 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 9:59:55 PM
Contributor : Anne Jaigu <>
Submitted on : Thursday, November 9, 2006 - 1:52:44 PM
Last modification on : Thursday, November 9, 2006 - 4:43:55 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 9:59:55 PM