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Character identification plays a vital role in the contemporary world ofImage processing. It can solve many composite problems and makes humans workeasier. An instance is Handwritten Character detection. Handwritten recognitionis not a novel expertise, but it has not gained community notice until Now. Theeventual aim of designing Handwritten Character recognition structure with anaccurateness rate of 100% is pretty illusionary. Tamil Handwritten Characterrecognition system uses the Neural Networks to distinguish them. Neural Networkand structural characteristics are used to instruct and recognize writtencharacters. After training and testing the exactness rate reached 99%. Thiscorrectness rate is extremely high. In this paper we are exploring imageprocessing through the Hilditch algorithm foundation and structuralcharacteristics of a character in the image. And we recognized some characterof the Tamil language, and we are trying to identify all the character of TamilIn our future works.

Face Verification System based on Integral Normalized Gradient Image(INGI)