This paper proposes a new recognition and retrieval system for binary images. In this system, an image is segmented into several areas that have several different elements (e.g. circular measure, degree of occlusion, etc.). The similarity between an input image and images in the database is calculated by the elements. One of the significant points in this system is that it is a trainable system, that dignifies several points that are principal in the images. After training, the data in the image database system are renewed to get recognition rate better. This paper shows effectiveness of the proposed method and the training by some experiments.
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