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.
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References
M. Bianchini, P. Frasconi, and M. Gori. Learning in multilayered networks used as autoassociators. IEEE Transactions on Neural Networks, 6(2):pages 512–515, 1995.
M. Gori, L. Lastrucci, and G. Soda. Autoassociator-based models for speaker verification. Pattern Recognition Letters, To Appear.
J. Serra. Image Analysis and Mathematical Morphology. Academic Press, London, U.K., 1982.
D. H. Ballard and C. M. Brown. Computer Vision. Prentice Hall, Englewood Cliffs, N.J., 1982.
D. E. Rumelhart, G. E. Hinton, and R.J. Williams. Learning representation by error backpropagation. In Parallel Distributed Processing. MIT Press, 1990.
T. Kanungo, R.M. Haralick, and I. Phillips. Global and local document degradation models. In Proceedings of the International Conference on Document Analysis and Recognition, pages 730–734. IEEE Computer Society Press, 1993.
H.S. Baird. Document image defect models. In Structured Document Image Analysis, pages 547–555. Springer-Verlag, 1992.
H.S. Baird. Calibration of document image defect models. In Symposium on Document Analysis and Information Retrieval, pages 1–16, 1993.
F. Cesarini, M. Gori, S. Marinai, and G. Soda. A system for data extraction from forms of known class. In Proceedings of the International Conference on Document Analysis and Recognition, pages 1136–1140, 1995.
T.K. Ho, J.J. Hull, and S.N. Srihari. A computational model for recognition of multifont word images. Machine Vision and Applications, 6(6):157–168, 1993.
D.S. Doermann and A. Rosenfeld. The processing of form documents. In Proceedings of the International Conference on Document Analysis and Recognition, pages 497–501, 1993.
D. S. Doerman, E. Rivlin, and I. Weiss. Logo recognition. In Center for Automation Research, Technical Report 3145, 1993.
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© 1996 Springer-Verlag Berlin Heidelberg
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Cesarini, F., Gori, M., Marinai, S., Soda, G. (1996). A hybrid system for locating and recognizing low level graphic items. In: Kasturi, R., Tombre, K. (eds) Graphics Recognition Methods and Applications. GREC 1995. Lecture Notes in Computer Science, vol 1072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61226-2_12
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DOI: https://doi.org/10.1007/3-540-61226-2_12
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