Title: Pairwise coupling for machine recognition of hand-printed Japanese characters
Abstract:Machine recognition of hand-printed Japanese characters has been an area of great interest for many years. A major problem of this classification task is the huge number of different characters. Apply...Machine recognition of hand-printed Japanese characters has been an area of great interest for many years. A major problem of this classification task is the huge number of different characters. Applying standard "state-of-the-art" techniques, such as SVM, to multi-class problems of this kind imposes severe problems of both a conceptual and technical nature: (i) separating one class from all others may be an unnecessarily hard problem; and (ii) solving these subproblems can impose unacceptably high computational costs. In this paper, a new approach to Japanese character recognition is presented that successfully overcomes these shortcomings. It is based on a pairwise coupling procedure for probabilistic two-class kernel classifiers. Experimental results for Hiragana recognition effectively demonstrate that our method attains an excellent level of prediction accuracy while imposing very low computational costs.Read More
Publication Year: 2005
Publication Date: 2005-08-24
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 24
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