DocumentCode
703196
Title
Handwritten Farsi character recognition using evolutionary fuzzy clustering
Author
Dehghan, Mehdi ; Faez, Karim
Author_Institution
Electr. Eng. Dept., AmirKabir Univ. of Technol., Tehran, Iran
fYear
1998
fDate
8-11 Sept. 1998
Firstpage
1
Lastpage
4
Abstract
In this paper, a Fuzzy clustering method based on Fuzzy c-Means clustering(FCM) and Evolutionary Strategies (ES) is proposed for handwritten Farsi character recognition. Experimental result showed that not only this algorithm can represent accurately the ambiguity of handwritten characters but also it outperforms the classical crisp based methods especially when word recognition is the main concern.
Keywords
evolutionary computation; fuzzy set theory; handwritten character recognition; natural language processing; pattern clustering; evolutionary fuzzy clustering; evolutionary strategies; fuzzy c-means clustering; handwritten Farsi character recognition; word recognition; Character recognition; Clustering algorithms; Handwriting recognition; Shape; Sociology; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location
Rhodes
Print_ISBN
978-960-7620-06-4
Type
conf
Filename
7089667
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