Hand Sign Recognition using Image Processing
Hitesh Sri Sai Kaushik Vezzu, Sunny Nalluri, Kakumanu Swetha, Vadapalli SaiKumar · 2023
The deaf and those with minor difficulty hearing and speaking use sign language to engage with people and communicate within their group. According to a World Health Organization assessment, there are around 9.1 billion dumb people and 466 million persons with hearing impairment worldwide. It's challenging for these folks to interact with other people. An English translation of the sign language is necessary in order to solve their problem. Although there are other additional sign languages, only American Sign Language (ASL) is taken into consideration in this case. IOT sensors, colors, gloves, and other devices may now be used to recognize sign language. These are demanding, costly, time-consuming, and require a lot of effort. The issue could be resolved via image processing. As part of image processing, some procedures will be performed on the image to find the pertinent text. Image processing makes sign language detection adaptable, quick, easy, and accurate. Image - processing supports in image analysis and detection, along with possible pre-processing techniques on image, if necessary. Here, the user's sign will be captured by the camera, anticipated, and given an English translation that reflects the message that the user is striving to get through.