• Prutha Gandhi
• Shobha S. Raskar
• Dhanashri Dalvi
• Pallavi Gaikwad
• Shubham Khode

A mediator person is required for communication between deaf person and a second person. But a mediator should know the sign language used by deaf person. But this is also not possible always since there are multiple sign languages for multiple languages. It is difficult for a deaf person to understand what a second person speaks. And therefore deaf person should keep track of lip movements of second person in order to know what he is speaking. But the lip movements does not give proper efficiency and accuracy. To overcome these problems we have proposed a system, i.e. an application for recognizing sign language using hand gestures with the facility for user to define and upload their own sign language into the system. The features of this system are the real time conversion of gesture to text and speech. For two-way communication between deaf person and second person, the speech of second person is converted into text. The processing steps include: gesture extraction, gesture matching and conversion of text to speech and vice-versa. The system can also be used by other people who migrate to different regions and do not know the regional/local language.

Digitization and Image Capture, Segmentation, Object recognition, Tracking

"Static Image-Based Sign Language Recognition Using Eigen Object Recognizer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 5, page no.81-85, May-2016, Available :http://www.jetir.org/papers/JETIR1605017.pdf

"Static Image-Based Sign Language Recognition Using Eigen Object Recognizer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 5, page no. pp81-85, May-2016, Available at : http://www.jetir.org/papers/JETIR1605017.pdf