Finger Detection for Sign Language Recognition
J. Ravikiran, Kavi Mahesh, Suhas Mahishi, R. Dheeraj, Nitin V. Pujari · 2009
Abstract — Computer recognition of sign language is an important research problem for enabling communication with hearing impaired people. This paper introduces an efficient and fast algorithm for identification of the number of fingers opened in a gesture representing an alphabet of the American Sign Language. Finger Detection is accomplished based on the concept of Boundary Tracing and Finger Tip Detection. The system does not require the hand to be perfectly aligned to the camera or use any special markers or input gloves on the hand. Index Terms—Boundary Tracing, computer access for disabled, finger detection, image processing, sign language recognition. I.