Indian Sign Language Recognition Using Soft Computing Techniques
Ashok Kumar Sahoo, Pradeepta Kumar Sarangi, Parul Goyal · 2020
Sign language recognition comes under the research dimension of pattern recognition. The work is to translate acquired images or videos either offline or online to corresponding words, numbers, or sentences representing meaning of the input sign. Here the work presented is recognition of Indian Sign Language. The application of this work is limited to Indian subcontinent where around 5% of the population is using Indian Sign Language to communicate with their external world. The direct pixel value, hierarchical centroid, local histogram features of image processing techniques are used in the experiments. The classifiers used here are k-Nearest Neighbor and Neural Network. The detailed work in this chapter is presented below.