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2006
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Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition

10 years 6 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional features from on-line strokes of handwritten text and applies the SVM to the extracted features to produces segmentation point candidates. We incorporate the method into the segmentation by recognition scheme based on a stochastic model which evaluates the likelihood composed of character pattern structure, character segmentation, character recognition and context to finally determine segmentation points and recognize handwritten Japanese text. This paper also shows the details of generating segmentation point candidates in order to achieve high discrimination rate by finding the combination of the segmentation threshold and the concatenation threshold. We compare the method for segmentation by the SVM with that by a neural network using the database HANDSKondate_t_b...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DAS
Authors Bilan Zhu, Junko Tokuno, Masaki Nakagawa
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