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
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;
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
DOI :
10.1109/BICTA.2010.5645315
