Title Detection Algorithm for OCR Credentials Image Based on Directional Projection and Divergence

摘要：

According to the OCR character region in OCR credentials image, a new skew detection method was presented by using Bresenbams integer only line drawing algorithm and within-group measure of dispersion. Several directional projection are calculated in the algorithm by using Bresenhams integer line drawing algorithm. At the same time calculating minimal within-group measure of dispersion of the directional projection. After searching minimal value of all within-class divergence, the angle relative of minimal value is the one of the OCR credentials. Experiment results show that the new method can measure out the slanting degree of an OCR credentials image efficiently and accurately.

关键词： credentials directional projection within-class divergence skew detection

作者: ZhiwenWANG Guoqing XIE Shaozi LI Zhi LIU

作者单位: Department of Computer and Engineering Guangxi University of Technology Liuzhou, China Cognitive Sci Faculty of Software,Fujian Normal University Fuzhou,china Cognitive Science Department of Xiamen University Xiamen, China Department of Computer and Engineering, Guangxi University of Technology Liuzhou, China

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 212-215

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）