In today’s fast growing technology, digital recognitions are playing wide role and providing more scope to perform research in OCR techniques. Many of today’s document scanners for the PC come with the software that performs a task of character recognition. OCR software allows you to scan a printed document and then convert the electronic text in word format. Recognition of Tamil handwritten scripts is complicated compared to other western language scripts. However, many researchers have provided real-time solutions for offline Tamil character recognition also. Offline Tamil handwritten documents recognition still offers many motivating challenges to researchers. In our proposed approach we identify the script of a character group combining different character features obtained from structural shape, profile behavior, component overlapping information, topological properties, and water reservoir concept, etc. Today India is considered to be a huge market for all kinds of products. But many parts of the country are still not that well conversed with the English language. So to communicate with the people at grass root level or even the residents of that particular region, local or regional languages have to be used for communication. Thus to have the documentations in regional languages is the need of today. So after thorough discussions and analyzing the needs of the market we decided to make this project. Though a very small part of digital image processing we find that the implementations of OCR in the corporate world are huge. It can be used in banking & other financial institutions, libraries, convert existing books into computer format so the books can be taken on a CD-ROM or directly uploaded on the internet.