Devnagari Script Character Recognition Using Genetic Algorithm for Get Better Efficiency
Vedgupt Saraf1, D.S. Rao2
1Vedgupt Saraf, Computer Science and Engineering Department, Indore Institute of Science and Technology, Indore, India.
2Dr. D.S. Rao, Computer Science and Engineering Department, Indore Institute of Science and Technology, Indore, India.
Manuscript received on March 02, 2013. | Revised Manuscript received on April 10, 2013. | Manuscript published on April 30, 2013. | PP: 374-377 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1565042413/2013©BEIESP
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Abstract: Character recognition is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. In India, more than 300 million people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of printed as well as handwritten Devanagari text in the past few years. The problem arises in Devnagari script character recognition using quadratic classifier provides less correctness and less efficiency. For the answer of the above problem and for get better efficiency we use the genetic algorithm. It will give the better results from the above methods. The idea of genetic algorithm comes from the fact that it can be used as an outstanding means of combining various styles of writing a character and generates new styles. Closely observing the ability of human mind in the recognition of handwriting, we find that humans are able to recognize characters even though they might be seeing that style for the first time. This is possible because of their power to visualize parts of the known styles into the unknown character. We try to represent the same power into the machines.
Keywords: Handwritten Character Recognition, On-line and Off-line Character Recognition, Genetic Algorithms, Segmentation.