Abstract
This paper deals with a particular aspect of a technical document interpretation device: the recognition of multi-oriented and multi-scaled characters and symbols. The adopted methodology is based on original descriptors, relying on the computation of the Mellin Fourier Transform. These descriptors are then combined with classical invariant through the use of Genetic Algorithms. The application frame of this study is the interpretation of the documents of the French telephonic operator France-Telecom for which the recognition of symbols constitutes a crucial point for a robust interpretation.
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5 References
S. Adam, J. M. Ogier, C. Cariou, R. Mullot, J. Gardes, Y. Lecourtier, Multi-Scaled and Multi Oriented Character Recognition: An Original Strategy, Proceedings of ICDAR 99, Bangalore, India, 45–48, 1999
M. Teague, Image analysis via the general theory of moments, Journal of Optical Society of America, 70, 920–930, 1980.
E. Menu, L. Lefrere, Y. Lecourtier, A New Method of Distorsion Invariant Character Recognition, Proceedings of IAPR 1992, La Hague, Vol. 2, 599–602, 1992.
J.-M. Ogier, Contribution à l’analyse automatique de documents cartographiques: interprétation de données cadastrales, Thèse de Doctorat, Université de Rouen, 1994.
O. D. Trier, A. K. Jain, T. Taxt, Features extraction methods for character recognition-A Survey, Pattern Recognition, 29, 641–662, 1996.
F. Ghorbel, A complete invariant description for gray level images by the harmonic analysis approach, Pattern Recognition Letters 15, pp 1043–1051, 1994.
A. Khotanzad and Y. H. Hong, Rotation Invariant image recognition using features selected via a systematic method, Pattern Recognition 23 1089–1101, 1990.
G. Ravichandran, M. Trivedi, Circular-Mellin Features for Texture Segmentation, IEEE Trans. on Image Processing, 1995.
S. O. Belkasim, M. Shridar and A. Ahmadi, Pattern Recognition with moment invariants: A comparative study and new results, Pattern Recognition 24, 1117–1138, 1991.
N. Kita, Object locating based on concentric circular description, Proceedings of 11th IEEE International Conference of Pattern Recognition, Den Haag, Vol 1, 637–641, 1992.
S. A. Dudani, K. J. Bredding, R. M. McGhee, Aircraft identification by moment invariants, IEEE Transaction Computer, C-26, 39–45, 1977.
D. Zongker and A. Jain, Algorithms for Feature Selection: An Evaluation, Proceedings of ICPR 96, Vol II, 18–22, 1996
W. Siedlecki and J. Sklansky. A Note on Genetic Algorithms for Large-Scale Feature Selection, Pattern Recognition Letters, 10, 335–347, 1989.
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© 2000 Springer-Verlag Berlin Heidelberg
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Adam, S., Ogier, JM., Cariou, C., Gardes, J., Mullot, R., Lecourtier, Y. (2000). Combination of Invariant Pattern Recognition Primitives on Technical Documents. In: Chhabra, A.K., Dori, D. (eds) Graphics Recognition Recent Advances. GREC 1999. Lecture Notes in Computer Science, vol 1941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40953-X_20
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DOI: https://doi.org/10.1007/3-540-40953-X_20
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