Sign Language To Text Conversion using Computer Vision in Python

By Datla Krishna Karthik varma

The Sign Language to Text Conversion Project improves communication for hearing-impaired people by recognising sign language motions and translating them into written text

In order to improve communication between hearing-impaired people who use sign language and people who do not, the Sign Language to Text Conversion using Computer Vision project was created. It makes use of computer vision techniques to decode hand gestures from real-time video sources and recognise them as written text.

Real-time video input of a person making sign language gestures is captured by the system using a camera or webcam. Computer vision techniques are used to analyse the video frames in order to track and detect hand motions and identify various sign language gestures. This covers methods including feature extraction, hand tracking, and hand segmentation.

Following recognition of the hand motions, the system translates them to corresponding textual representations. The recognised hand motions are

transformed into written