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Handwritten Thai character recognition using fuzzy linguistic rules
Author(s)
Pornchaikajornsak, Arrak
Date Issued
December 1, 2002
Type
Conference Paper
Abstract
This paper proposes an approach to off-line handwritten Thai character recognition by using the fuzzy linguistic rules. The recognition process is divided a character image into 3 segments, while the characteristics of the histogram of each segment play a significant role in identifying the character. The experiments have been conducted to recognize both single characters and written documents. The average recognition rate is 80.85%.
Citation
Intelligent Engineering Systems Through Artificial Neural Networks, 12, 631-636, 2002