A Review on Hand Gesture Recognition Using Image Processing

Abstract

Sign language, an important nonverbal communication strategy, is mostly used by people who are deaf or have speech difficulties to engage with those who have similar obstacles. Many existing sign language systems, on the other hand, are characterized by a lack of flexibility and cost, presenting challenges for end-users. In response to these obstacles, a prototype system for automatically detecting sign language has been created, providing a more efficient way of communication for the deaf and speech challenged. Deaf people typically struggle to communicate with the hearing community because sign language is often misinterpreted. Interpreters may not always be available, and visual communication can be challenging to comprehend. Within the speech and deaf impaired community, sign languages serve the primary mode of communication, uniting individual with similar conditions and their families. The intricate syntax and nuanced meanings conveyed through a myriad of sign language gestures make it an indispensable means of bridging the communication gap in this community. This novel method has the capacity to improve communication accessibility and inclusion for anyone.