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In this paper, we propose an automatic unsupervised classification technique. The method works successfully for any kind of feature vectors, therefore we insist on classification step of recognition process only. First we propose an semiautomatic unsupervised classification approach, based on region-growing method. Then, by eliminating the condition of(More)
We propose a novel human face recognition approach in this paper, based on two-dimensional Gabor filtering and supervised classification. The feature extraction technique proposed in this article uses 2D Gabor filter banks and produces robust 3D face feature vectors. A supervised classifier, using minimum average distances, is developed for these vectors.(More)
The objective of the present paper is to describe a pattern recognition approach for image segmentation. First, in the introduction, we describe the general aspects of uniformity and texture recognition. Then we provide a mean-based feature extraction approach for uniformity analysis and a moment-based one for texture analysis. In the classification stage(More)
We have focused on a set of problems related to image pattern recognition, presenting an approach for the graphical objects' detection problem. First, in the introduction, we describe the general aspects of the computer vision system. Then, we provide approaches for image's objects identification, by composing the previously detected textured and(More)