A comprehensive review of sign language recognition systems: Methods, challenges and future directions
Srishti Sharma, Riya Narang, Saumya Singhal, Poonam Nandal · 2025
Sign language recognition has attracted considerate attention as a method for helping the deaf and hard of hearing communities communicate. This paper offers a thorough investigation of the detection and recognition of sign language through the use of machine learning and computer vision approaches. Our approach is a multi-step procedure that begins with preprocessing the video footage in order to separate and standardize hand motions. By a variety of sign language gestures, the suggested system was assessed and showed appreciable gains in recognition accuracy compared to the most advanced techniques. By tackling frequent issues including gesture ambiguity and background noise, this research advances the area and it paves the way for future advancements in real-time sign language translation systems. Our findings have implications for developing accessible communication technologies and enhancing interaction between the deaf community and the broader society.