Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44114
| Título: | Sign language to text by SVM | Autores/as: | Travieso, Carlos M. Alonso, Jesus B. Ferrer Ballester, Miguel Ángel |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Handicapped aids , Support vector machines , Hidden Markov models , Support vector machine classification , Image databases , Deafness , Kernel , Computer errors , Partial response channels , Color | Fecha de publicación: | 2003 | Publicación seriada: | Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 | Conferencia: | 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 | Resumen: | 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 | Fuente: | Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003,v. 2 (1224907), p. 435-438 |
| Colección: | Actas de congresos |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.