Improvements on isolated word recognition using subspace methods

GÜLMEZOĞLU M. B., EDİZKAN R., ERGİN S., BARKANA A.

13th European Signal Processing Conference, EUSIPCO 2005, Antalya, Turkey, 4 - 08 September 2005, pp.317-320 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.317-320
  • Anadolu University Affiliated: Yes

Abstract

The purpose of this study is to investigate the effects of different forms of between-class scatter matrices on multi-class problems. Two different between-class scatter matrices are defined in Fisher's linear discriminant analysis (FLDA) and the classification rates better than that of classical FLDA are obtained for TI-digit database. In this study, the criteria that give separate subspaces for each class are also proposed. It is seen that considering only the within-class scatter in the classification gives better results than that of considering both the within- and between-class scatters for TI-digit database.