Identification and Recognition of Printed Distorted Characters Using Proposed DCR Method

Technological advancement has been developed immensely in two areas over the past few years; these are computer and communication networks. This breakthrough has provided an opportunity for people around the world to access literature and important information. If the database of these manuscripts can be developed and make them available on the internet, the people will access those information as desired. The documents can be well-preserved in digital library so that they cannot be degraded. They are trying to improve the recognition rate in order to get the precise meaning of texts. Distorted character recognition is complicated in contrast with simple plain text images. Sometimes distorted character is seemed to be other character and the accuracy rate drops down drastically. As a result significant information is misplaced. In this paper, we are proposing an algorithm which will improve character recognition rate however it is distorted document image. The accuracy rate of our recommended algorithm is 97%.