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A Computer Vision System for Graphical Pattern Recognition and Semantic Object Detection

We have focused on a set of problems related to image pattern recognition and interpretation domain. In the introduction, we describe the general aspects of this computer vision task. Then we provide an approach for image objects identification and we provide a structure for these objects. A shape classification and a structure-based classification of the obtained image objects are then performed. Finally, after completing the steps of extraction and recognition, an objects interpretation (semantic extraction) method is also proposed. The paper is ending with a conclusions section.