DocumentCode
3028378
Title
A new algorithm for extracting character feature points
Author
Cao, Zhonghua ; Dai, Liping ; Wang, Yan
Author_Institution
Sch. of Software, Jiangxi Normal Univ., Nanchang, China
fYear
2011
fDate
26-28 July 2011
Firstpage
73
Lastpage
75
Abstract
A new algorithm for extracting character feature points is put forward in this paper. It first get the number of background regions and the corresponding features through analyzing the discrete circle template segmented by character skeleton, and then obtain the character feature points, finally determine the location of fork point accurately by using the maximum circle criterion. Experimental results show that this new algorithm could extract the feature points in a fast, accurate and robust way.
Keywords
character recognition; feature extraction; character feature point extraction; character skeleton; discrete circle template; fork point; maximum circle criterion; Character recognition; Data mining; Feature extraction; Handwriting recognition; Robustness; Text recognition; Rutoviz crossing number; circle template; fork point;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001969
Filename
6001969
Link To Document