This paper addresses the problem of locating and recognizing graphic items in document images. The proposed approach allows us to recognize such items also in the presence of high noise, scaling, and rotation. This is accomplished by a hybrid model which performs graphic item location by morphological operations and connected component analysis, and item recognition by a proper connectionist model. Some very promising experimental results are reported to support the proposed algorithms. © Springer-Verlag Berlin Heidelberg 1996.
F., C., Gori, M., S., M., G., S. (1996). A hybrid system for locating and recognizing low level graphic itemsGraphics Recognition Methods and Applications. In Lecture Notes in Computer ScienceGraphics Recognition Methods and Applications (pp.135-147). Berlin : Springer Verlag [10.1007/3-540-61226-2_12].
A hybrid system for locating and recognizing low level graphic itemsGraphics Recognition Methods and Applications
GORI, MARCO;
1996-01-01
Abstract
This paper addresses the problem of locating and recognizing graphic items in document images. The proposed approach allows us to recognize such items also in the presence of high noise, scaling, and rotation. This is accomplished by a hybrid model which performs graphic item location by morphological operations and connected component analysis, and item recognition by a proper connectionist model. Some very promising experimental results are reported to support the proposed algorithms. © Springer-Verlag Berlin Heidelberg 1996.
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https://hdl.handle.net/11365/36518
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