Sign Language Detection Using Deep Learning

Abstract—“Sign Language Detection Using Deep Learning” will determine the next step which is to develop a machine learning model capable of asserting sign, a medium of communication used by the deaf and hard of hearing. The suggested system would be in real time system where live sign gestures would be processed by the use of image processing. There would be the use of the classifiers to distinguish different signs and the output would be showing text. The aim of the system is the enhancement of the current system on this issue in the aspects of reaction speed and accuracy, through efficient algorithms, high-quality data sets and superior sensors. We expect that in our project we evolve a cognitive system that is responsive, robust, to such extent that it be applied in day-to-day tasks and operations by hearing or speech disabled individuals. Keywords—Sign Language Detection, Deep Learning, Image Processing, Real-Time Gesture Recognition, Assistive Technology, Deaf and Hard of Hearing Communication