Fourier Descriptor Based Static Sign Language Recognition
Yong Sheng Hu, Wei-yan Shen, Weihao Zheng · International Journal of Engineering and Applied Sciences (IJEAS) · 2017
Sign language recognition is an important and challenging research area in the field of human-computer interaction. The work presented in this paper aims at developing a robust system for automatic translation of static gestures of alphabets. The proposed methods used the Support Vector Machine classifier and features extracted from a novel signature, Inner-Centroid Distance. In the experiments, a comparison between the proposed methods and Zernike moments is performed by using a public sign database. Experiments show that the proposed approach is effective and simple to implement.