DocumentCode :
3172912
Title :
A Novel Pre-segmentation Algorithm of Handwritten Chinese Characters in e-Commerce
Author :
Zili Li ; Feng Zhou
Author_Institution :
Sch. of Economic Lnformation Eng., Southwest Univ. of Finance & Econ., Chengdu
fYear :
2008
fDate :
17-19 Oct. 2008
Firstpage :
265
Lastpage :
269
Abstract :
With the development of Chinese E-commerce, handwritten Chinese characters recognition has became an important problem in electronic payment systems and so on. However, the Chinese segmentation is the basis for Chinese character recognition. In the existing Chinese characters segmentation methods, the first step is the presegmentation for Chinese characters image, the second step is further fine segmentation for results of presegmentation, which is a commonly used strategy. Therefore, the pre-segmentation is very important. In order to deal with inefficiency of the traditional algorithms, the paper presented a novel algorithm with pre-segmentation method. Performance analysis and simulation results show that the novel has better efficiency, higher precision and less system cost.
Keywords :
electronic commerce; handwritten character recognition; image segmentation; e-commerce; electronic payment systems; handwritten Chinese characters; presegmentation algorithm; Analytical models; Character recognition; Conference management; Electronic government; Engineering management; Finance; Financial management; Image segmentation; Partitioning algorithms; Performance analysis; Chinese Characters Segmention; Chinese Characters recognition; Handwritten Chinese Characters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of e-Commerce and e-Government, 2008. ICMECG '08. International Conference on
Conference_Location :
Jiangxi
Print_ISBN :
978-0-7695-3366-7
Type :
conf
DOI :
10.1109/ICMECG.2008.40
Filename :
4656638
Link To Document :
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