PERFORMANCE OF FITNESS MEASURES TO RECOGNIZE TELUGU CHARACTERS
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Abstract
The research in character recognition is a good old application in the area of pattern recognition and has attracted many researchers during the last few decades. There are various applications of character recognition such as in banks, post offices, defense organizations, reading aid for the blind, library automation, language processing and multimedia design. The handwritten Telugu characters which are complex in nature to recognize are considered in the current work by extracting relevant features using genetic algorithm. The performance of the system is compared by testing the algorithm, with two different fitness measures.
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