DocumentCode :
2339289
Title :
A Method of Character Recognition Based on General Characteristic and Connected Regions
Author :
Meng Qing-yuan ; Hongping, Hu ; Yanping, Bai
Author_Institution :
Coll. of Sci., North Univ. of China North Univ. of China, Taiyuan, China
Volume :
1
fYear :
2011
fDate :
14-15 May 2011
Firstpage :
94
Lastpage :
98
Abstract :
In this paper, by analyzing the number of concave domain and cycles and the characteristic of connected domain of the characters, we present a method of character recognition based on above mentioned features. At first, the characters are divided into two classes according to cycles: the character with cycles and the character without cycles. Then, we detect if the character has sunk parts in its four directions (up, down, left, right).According to the results, the character can be recognized or divided into six classes. At last, we recognize the character using the characteristic of connected domain, and obtain the final recognition results. The experiment shows that the algorithm has a good performance in English characters recognition.
Keywords :
natural languages; optical character recognition; traffic engineering computing; English characters recognition method; concave domain; connected regions; intelligent transport system; license plate recognition; optical character recognition; Arrays; Character recognition; Feature extraction; Image edge detection; Licenses; Noise measurement; Pixel; character recognition; concave domain; connected domain; cycle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Signal Processing (CMSP), 2011 International Conference on
Conference_Location :
Guilin, Guangxi
Print_ISBN :
978-1-61284-314-8
Electronic_ISBN :
978-1-61284-314-8
Type :
conf
DOI :
10.1109/CMSP.2011.25
Filename :
5957385
Link To Document :
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