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We consider the recognition problem of Japanese historical hand-written characters called “Kuzushiji”. Unlike modern characters, Kuzushiji characters are harder to recognize partly because many of the...m are connected and not separated by spaces without any segmentation information. We propose two methods for segmen- tation and recognition of Kuzushiji characters. The first method learns segmentation rules and character classifiers simultaneously from data sets with character labels and segmentation information. Second method is for segmentation and can be used with any sin- gle character recognizer. Our methods outperform other baselines and achieve the state-of-the-art accuracy on both segmentation and recognition tasks on data sets of three consecutive Kuzushiji characters.続きを見る
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