International Journal of Engineering and Technology

The thesis describes of character recognition process of various Tamil scripts using various classifier and the work proposed noise image and segmentation process for the individual characters image of letters from each other. After the process, an important feature extraction step is used to recognize the Ancient characters accurately with hypothesis combination. Feature describes the characteristic of object uniquely for Variability method of complexity image. Noise Reduction Process with Filtering Method is one of the feature extraction, which is the process of extracting information from test data which is most relevant for classification purpose relevant the type of error with blur image of letter or characters. The technique extracts the basic components of Tamil Characters and then it can be translates into the components for additional recognition measures to the probability of blur image. Finally a recognition process system is proposed for the characters in Tamil script. The data set characters are sampled from the script automatically or tools based. The proposed Hypothesis classifier is tested on quite number samples images of letter of ancient Tamil images.