Invariant Radon-Moment Descriptor for Postal Applications
Abstract
In this article a new solution of handwritten digits recognition system for postal applications is presented. Moreover, in this paper, a new approach of handwritten characters recognition was presented. The implemented algorithm is applied to recognition of postal items on the basis of postcode information. In connection with this article the research was carried with all digit characters used in authentic zip code of various mail pieces. Additionally, the paper contains some preliminary image processing for example normalization of the character. The main objective of this article is to use the Radon Transformation and other moments values to obtain a invariant set of character image features, on basis of which postal code will be classified. The reported experiments results prove the effectiveness of the proposed method. Furthermore, causes of errors as well as possible improvement of recognition results will be presented.References
Aissaoui, A., Haouari, A. (1999). Normalised Fourier coefficients for cursive Arabic script recognition. Applied Signal Processing, 6(3), 115-122
Andrysiak, T. (2001). Recognition of handwritten characteres using Gabor features, II Krajowa Konferencja Naukowo-Szkoleniowa KOSYR
Andrysiak, T., ChoraS, M. (2005). Image retrieval based on hierarchical Gabor filters. International Journal of Applied Mathematics and Computer Science, 15(4), 471
Averbuch, A., Coifman, R.R., Donoho, D.L., Israeli, M., Walden, J. (2001). Fast Slant Stack: A notion of Radon transform for data in a cartesian grid which is rapidly computible, algebraically exact, geometrically faithful and invertible. Department of Statistics, Stanford University
Bellili, A., Gilloux, M., Gallinari, P. (2003). An MLP-SVM combination architecture for offline handwritten digit recognition. Document Analysis and Recognition, 5(4), 244-252
Bracewell, R. N., Chang, K. Y., Jha, A. K., Wang, Y. H. (1993). Affine theorem for two-dimensional fourier transform. Electronics Letters, 29(3), 304
Forella, G. (2000). Word perfect, Postal Technology, UKIP Media & Events Ltd
Hiriyannaiah, H. P., Ramakrishnan, K. R. (1994). Moments estimation in Radon space. Pattern recognition letters, 15(3), 227-234
Riggs, R., Holliday, J. (2003). Programming Wireless Devices with the Java 2 Platform: Micro Edition. Addison-Wesley Professional
Kang, H. I., Lim, S., Kim, K. I., Son, Y. I. (2005, July). A normalization based image affine estimation technique for computer vision. In Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on (pp.1553-1556). IEEE
Kaufmann, G., Bunke, H. (2000). Automated reading of cheque amounts. Pattern Analysis & Applications, 3(2), 132-141
Kupce, E., Freeman, R. (2004). The Radon transform: a new scheme for fast multidimensional NMR. Concepts in Magnetic Resonance Part A, 22(1), 4-11
Liu, C. L., Sako, H., Fujisawa, H. (2002). Performance evaluation of pattern classifiers for handwritten character recognition. International Journal on Document Analysis and Recognition, 4(3), 191-204
Hu, M. K. (1962). Visual pattern recognition by moment invariants. information Theory, IRE Transactions on, 8(2), 179-187
Miciak, M. (2004). The Algorithms of Handwritten Characters Recognition For Postal Application, Signal Processing 2004 Workshop Proceedings, 75-80
Maszewski, M., Miciak, M. (2007). Character Recognition Based on Fourier Transfrom and CDWT in Postal Applications. In Computer Recognition Systems 2 (pp. 462-469). Springer Berlin Heidelberg
Miciak, M., Boniecki, R., Marchewka, A. (2010). The Complex System to Postal Code Recognition, Position of Postal Services in Modern Communication Society, 216-221
Mason, J.C., Handscomb, D.C. (2002). Chebyshev polynomials. CRC Press
Toft, P. A., Sorensen, J. A. (1996). The Radon transform-theory and implementation (Doctoral dissertation, Technical University of DenmarkDanmarks Tekniske Universitet, Department of Informatics and Mathematical ModelingInstitut for Informatik og Matematisk Modellering)
Kupce, E., Freeman, R. (2004). The Radon transform: a new scheme for fast multidimensional NMR. Concepts in Magnetic Resonance Part A, 22(1), 4-11