A Review on Sign Language Recognition

Abstract

True impairment is the inability to converse with others. [1]Deaf and dumb people mostly utilise [1] sign language to [1] communicate inside [1]their group [1]and with other people. People who are hesitant to converse or hear use hand gestures to communicate in this language. Hands, eyes, facial emotions, and movement are all used as visual clues within this form of language. Even though sign language has grown to be increasingly widespread in recent years, it can still be difficult for non-signers to interact with signers. A technique for [2]sign language recognition is presented [2]in this study. Recognizing [2]sign language through actions [2]is referred to as sign language recognition. For this, capturing sign language gestures for words, numerals, and alphabets using a camera. The recorded images are processed using supervised algorithms and various data sets. The pre-trained models and the different layers of these algorithms are used for feature extraction and classification. The system will provide the equivalent sign language in text or speech as its output.