Bangla Sign Language Detection Using SIFT and CNN

Very few researches were done in detecting Bangla sign language. Most of the researchers in this field used SVM, ANN or KNN as the classifier. In this paper, we try to implement a Bangla sign language system that uses SIFT feature extraction and Convolutional Neural Network (CNN) for classification. We also show that using SIFT feature increases the accuracy of CNN for detecting Bangla Sign language.