Published Paper Details:

The real time sign language is important for people that have hearing and speaking deficiency generally called Deaf And Mute. It is the sole mode of communication for such people to convey their messages and it becomes vital for people to know their language. This paper proposes the tactic or algorithm for an application which might help in recognizing the various signs which is named Indian real time sign language. The images are of the palm side of right and left and are loaded at runtime. The method has been developed with reference to single user. The real time images are going to be captured first then stored in directory and on recently captured image and have extraction will happen to spot which sign has been articulated by the user through keras sequential model algorithm. The comparisons are going to be performed behind then after comparison the result are going to be produced in accordance through matched key points from the input image to the image stored for a specific letter already in the directory or the database the outputs for the following can be seen in below sections. There are 26 signs in Indian Sign Language corresponding to each alphabet out which the proposed algorithm provided with 95% accurate results for 9 alphabets with their images captured at every possible angle and distance i.e. for every alphabet even if have approximately 5 images at different angles and distances then the algorithm is working accurately for 45 types of inputs.