An Application of Character Components Segmentation on Printed Chinese Character Recognition System

• Main Authors: Shiang-Lu Lin, 林向如
• Other Authors: Ming-Yu Yang
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/35052909540642918306

碩士 === 淡江大學 === 資訊管理學系碩士班 === 96 === In this paper, we purpose to construct a printed Chinese OCR system by segmenting an optical character, which included character segmentation kernel and character recognition kernel. Character segmentation kernel segments Chinese character into two parts by the distinctions of Chinese. Character recognition kernel achieves 6-layers feature filters by three character features, which are total pixel count feature, crossing count feature and peripheral background area feature. After these feature filters processed, the system will evaluate the remaining candidate characters by template matching. Our experiment shows that the OCR with segmentation method has better performance on the template-matching stage.