INTRODUCTION It has been observed that Dumb people find it really difficult at times to communicate with normal people with their gestures, as only a very few of those are recognized by most people. Since people with hearing impairment or deaf people cannot talk like normal people so they have to depend on some sort of visual communication in most of the time. [2]. There are many ways to define a sign .Sign Language can be defined as structured code gesture and every every gesture has meaning assigned to it. Sign Language is the only one technique for communication for deaf people. With the advancement of science and technology many methods have been developed to minimize the problem of deaf people and also to implement it in different fields. Many research works related to Sign languages have been done as for example the American Sign Language, the British Sign Language, the Japanese Sign Language, and so on. But very few works has been done in Indian Sign Language recognition till date.[1] It becomes difficult finding a well experienced and educated translator for the sign language every time and everywhere but human computer interaction system for this can be installed anywhere possible. The motivation for developing such helpful application came from the fact that it would prove to be of utmost importance for socially aiding people and how it would help increasingly for social awareness as well. Sign languages can be categories in different types like, Indian Sign Language, British Sign Language, American Sign Language etc. In our approach, we are capturing symbol of sign language using webcam. Then, the system compares the input sign with signs stored in the system database, and presents the most similar signs to the user in text form. The user can then view the results and decide which (if any) of those results is correct