Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44114
Title: Sign language to text by SVM
Authors: Travieso, Carlos M. 
Alonso, Jesus B. 
Ferrer Ballester, Miguel Ángel 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Handicapped aids , Support vector machines , Hidden Markov models , Support vector machine classification , Image databases , Deafness , Kernel , Computer errors , Partial response channels , Color
Issue Date: 2003
Journal: Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Conference: 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 
Abstract: In this paper is presented an automatic deaf language to text system. The scheme is based on support vector machines (SVM) classifier using a Gaussian kernel. The input parameter vector to SVM is the Fisher score, which represents the derivate of the matrix of symbol probability in hidden Markov model (HMM). The HMM, which needs a sequence to be trained and used, is fed by the hand contour chain code. Besides, an improvement on the calculation of Fisher score is introduced by means of reducing the kernel scores variance. The error ratio classifying hand letter of the proposed system is less than 0.4% with our database.
URI: http://hdl.handle.net/10553/44114
ISBN: 0780379462
9780780379466
DOI: 10.1109/ISSPA.2003.1224907
Source: Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003,v. 2 (1224907), p. 435-438
Appears in Collections:Actas de congresos
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