Improved FAST Corner Detection Based on Harris algorithm for Chinese Characters

被引：1
|
作者：
Yao, Na [1 ]
Bai, TieCheng [1 ]
Chen, Jie [1 ]
机构：
[1] Tarim Univ, Coll Informat Engn, Alaer, Peoples R China
来源：
ADVANCES IN APPLIED SCIENCES AND MANUFACTURING, PTS 1 AND 2 | 2014年 / 850-851卷
关键词：
Chinese characters; Corner detection; Harris; FAST;
D O I：
10.4028/www.scientific.net/AMR.850-851.767
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
According to the characteristics of Chinese characters image, we propose an improved corner detection method based on FAST algorithm and Harris algorithm to improve detection rate and shorten the running time for next feature extraction in this paper. The image of Chinese characters is detected for corners using FAST algorithm Firstly. Second, computing corner response function (CRF) of Harris algorithm, false corners are removed. The corners founded lastly are the endpoints of line segments, providing the length of line segments for shape feature extraction. The proposed method is compared with several corner detection methods over a number of images. Experimental results show that the proposed method shows better performance in terms of detection rate and running time.
引用
收藏
页码：767 / 770
页数：4
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