16 January 2006 HCCR by contour-based elastic mesh fuzzy feature
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Offline handwritten Chinese character recognition is one of the difficult problems in pattern recognition area because of its large stroke distortion, writing anomaly, and no stroke ranking information can be gotten. The basic characteristic of Chinese character is that it is composed of four kinds of stroke, i.e. horizontal, vertical, 45 degree direction and 135 degree direction. A Chinese character can be uniquely confirmed by the quantity of the four directional strokes and its relative position. From the contour of Chinese character, we can get the features mentioned above. In this paper, we proposed first to modify an existed contour extraction algorithm and obtained strict single pixel contour of Chinese character, and then to give a contour-based elastic mesh fuzzy feature extraction method. Comparison experimental results show that the performance of our approaches is encouraging and can be comparable to other algorithms.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Limin Sun, Limin Sun, "HCCR by contour-based elastic mesh fuzzy feature", Proc. SPIE 6067, Document Recognition and Retrieval XIII, 606703 (16 January 2006); doi: 10.1117/12.648608; https://doi.org/10.1117/12.648608

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