NDLI: Printed Thai Character Recognition by Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Pornpanomchai, C. Daveloh, M.
Copyright Year	2007
Description	Author affiliation: Mahidol Univ., Bangkok (Pornpanomchai, C.; Daveloh, M.)
Abstract	This research applied a genetic algorithm in the pattern of cellular automata and through Conway's rules of the game of life, to generate a system of printed Thai character recognition. The system consisted of two main parts, namely, recognition training and recognition testing. The printed character images fed to the first part were derived from standard character patterns widely used in a computer currently totalling 72, 864 characters. As for the images used for recognition testing, they were captured from a computer screen and stored in BMP pattern, amounting to 1,015 characters. The findings in this research revealed that the database used was of large size and data was transformed from a table frame of 64 x 64 pixels to be stored in the form of bit strings. A table size of 64 x 64 pixels was used to enable a wide variety of distribution patterns of the stable state of each character, making its identity more obvious. This, of course, caused a modification process in each generation till the final generation which took a long time while the database was used to represent the population of the final generation of each character must be large enough for the bit string used to represent these characters. This would enable the system to recognize a character based on its frequency with the largest number of those bit string patterns. Out of 1,015 printed Thai characters tested, it was found that the system could recognize (accept) 986 characters or 97.14 %, while rejecting 6 characters or 0.59 % and misrecognizing 23 characters or 2.27 %. The recognition speed is 85 seconds per character on the average.
Starting Page	3354
Ending Page	3359
File Size	713742
Page Count	6
File Format	PDF
ISBN	9781424409723
DOI	10.1109/ICMLC.2007.4370727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Genetic algorithms Neural networks Character generation Pattern recognition Fuzzy logic System testing Feature extraction Machine learning Cybernetics Printed thai character recognition Genetic algorithm Conway's game of life
Content Type	Text
Resource Type	Article

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