Sign Language Detection System

The Sign Language Detection System helps detect hand gestures and convert them into text. It makes communication easier for deaf and mute people. The system is simple, accurate, and useful for real-time communication.

[1]  Ameen, S., & Vadera, S. (2017). A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images. Expert Systems.   [2]  Naresh Kumar (2017). Sign Language Recognition for Hearing Impaired People based on Hands Symbols Classification. International Conference on Computing, Communication and Automation (ICCCA2017)   [3]  Menna ElBadawy, A. S. Elons, Howida A. Shedeed and M. F. Tolba. Arabic sign language recognition with 3D convolutional neural networks. 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)   [4]  Pigou, L., Dieleman, S., Kindermans, P. J., & Schrauwen, B. (2014, September). Sign language recognition using convolutional neural networks. In Workshop at the European Conference on Computer Vision (pp. 572-578). Springer International Publishing.