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The comparison of method for numeral recognition algorithm
Ma B(马斌); Bian SH(边树海); Huang, Kuan; Han ZH(韩忠华); Wang ZT(王长涛)
Department自动化系统研究室
Conference Name2012 International Conference on Modelling, Identification and Control, ICMIC 2012
Conference DateJune 24-26, 2012
Conference PlaceWuhan, China
Author of SourceIEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology
Source PublicationProceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC, USA
2012
Pages272-276
Indexed ByEI
EI Accession number20124015531450
Contribution Rank2
ISBN978-0-9567157-1-5
KeywordAlgorithms Identification (Control Systems)
AbstractOn the basis of further research in the numeral image recognition algorithm, this paper puts forward a numeral image recognition based on MUC which is compared with a image recognition algorithm based on computer, both algorithms are by extracted feature information of figure. Experiments show that, the average recognition rate of numeral image recognition algorithm based on MCU can arrive at 74%, and the other based on computer arrives at 96.5%.But numeral image recognition algorithm based on MUC is simple, easy to realize, has low cost and a great potential for growth. © 2012 Huazhong Univ of Sci & Tec.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10400
Collection自动化系统研究室
Affiliation1.Shenyang Jianzhu University, Shenyang 110168, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Nanta Street 114#, Shenyang 110016, China
3.Graduate School of the Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation
GB/T 7714
Ma B,Bian SH,Huang, Kuan,et al. The comparison of method for numeral recognition algorithm[C]//IEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology. Washington, DC, USA:IEEE Computer Society,2012:272-276.
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