Review on Real Time Conversion of Sign Language to Text in Context of Vision Based and Deep Learning

Abstract

. In their daily contacts, those people have a hard time hearing or speaking extensively relies on sign language. To communicate the opinions of this community to people who may not be sign language experts, sign language alphabets have been devised. Nevertheless, it can be difficult for many individuals without disabilities to comprehend the motions and signals used by the deaf and mute [37]. Techniques have been developed to convert the sign language made By those with disabilities into a format that is understandable to others without disabilities in order to close this communication gap. This study is based on a number of procedures, For instance image Obtaining, initial processing, and dividing of hand gestures, Extracting characteristics and categorization techniques.

In an effort to develop systems that can recognize sign language more accurately, researchers are investigating improved techniques for doing so.