DocumentCode
3232223
Title
Clustering research of handwritten digit recognition by genetic algorithm
Author
Ye, Xu ; De-Zhan, Liu
Author_Institution
Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
291
Lastpage
297
Abstract
A method of genetic algorithms is briefly introduced in research of handwritten digit recognition in this paper. Considering the features of handwritten digit, genetic algorithm is elaborately designed to cluster the digit samples, so as to implement the handwritten digit recognition. And the experiment shows that genetic algorithm is effective in clustering analysis of handwritten numeral recognition.
Keywords
feature extraction; genetic algorithms; handwritten character recognition; pattern clustering; clustering research; genetic algorithm; handwritten digit recognition; handwritten numeral recognition; Algorithm design and analysis; Biological cells; Handwriting recognition; Manganese; Manuals; Smoothing methods; clustering; genetic algorithm; handwritten digit recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-6437-1
Type
conf
DOI
10.1109/BICTA.2010.5645315
Filename
5645315
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