Character feature extraction method and its effectiveness evaluation

摘要：

Present a novel method of character stroke feature extraction based on the histogram of gradient angles. Firstly, produce the gradient angle matrix of the pixels in the character edge by sifting out the gray image using the SOBEL operator. Secondly, set up the character stroke features as sub-vectors of each block matrix using the relationship between the gradient angle matrix and the character strokes. Then, select the block parameters of the gradient angle matrix. Finally, link the sub-vectors as the character feature vector and standardize it. This character feature extraction method integrates the character distributed feature and stroke feature. The recognition accuracy is up to 99％, distinguishing the 12 pixels wide images of license plate character with noise and rotation. This paper also presents set of character feature vector evaluation to assess the effectiveness of character feature vector.

关键词： license plate character feature character stroke gradient angle histogram character feature evaluation

作者: Li Yuchen Tian Zhen You Jia

作者单位: North China University of Technology, Beijing, 100144, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 197-200

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）