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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

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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