IEEE 12th Signal Processing and Communications Applications Conference, Kusadasi, Türkiye, 28 - 30 Nisan 2004, ss.732-734
In this paper, the Common Vector Approach is handled for a new point of view. Thus, all classes can be represented by a unique subspace and high recognition rates can be obtained by using the feature vectors with very low dimensions. The recognition rates obtained from the experimental study by using TI-digit database are also given.