Improvements on isolated word recognition using subspace methods
13th European Signal Processing Conference, EUSIPCO 2005, Antalya, Türkiye, 4 - 08 Eylül 2005, ss.317-320, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Basıldığı Şehir: Antalya
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.317-320
- Anadolu Üniversitesi Adresli: Evet
Özet
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.