Fourier Descriptor Based Static Sign Language Recognition |
( Volume 4 Issue 11,November 2017 ) OPEN ACCESS |
Author(s): |
Yong HU, Wei-yan SHEN, Wei ZHENG |
Abstract: |
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. |
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