Abstract
This paper shows an effect from filtering a low-pass filter on the performance in the image analysis using subspace classifier method. The feature extraction was firstly based on three kinds of intensity distributions, and the feature vector and subspace dimension for recognition were examined. Afterwards, a series of the analysis concerning the accuracies were conducted in the cases of filtered images and without filtered. The analyzed accuracies by using the subspace classifier was also compared with the results by the technique of another (Learning Vector Quantization).
