Writer Identification Based on the Distribution of Character Skeleton

摘要：

In this paper, a method based on the Distribution of Character Skeleton is adopted to extract the structural features of handwriting image. In this method, we firstly extract the character skeleton by applying morphology and then compute the skeleton direction distribution in each sub-region as writing style logos of different writers. Comparing with Gabor texture analysis method, it demonstrates the feasibility and effectiveness of this method. We adopt Nearest neighbor classifier based on weighted, also the classification results verified the classification performance is better than Gabor texture analysis method and the correct identification rate is higher.

关键词： Writer identification Gabor LSD Euclid distance with weights

作者: Yifang Wang Dexian Zhang Wei Luo

作者单位: College of information Science and Engineering,Henan University of echnology,Zhengzhou, Henan, 45000 College of information Science and Engineering,Henan University of Technology,Zhengzhou, Henan, 4500

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Intelligent Ubiquitous and Education(2010年第三届智能普适计算与教育国际研讨会 IUCE 2010)

会议地点: 北京

会议语种:英文

页码: 526-528

在线出版日期: 2010-09-18（万方平台首次上网日期，不代表论文的发表时间）