Radon-Zernike moments method applied in postal application

• Autorzy: Miciak M. , Wiatr R. , Andrysiak T. , Maszewski M.

Warianty tytułu

PL

Zastosowanie momentów Radona-Zernike do aplikacji pocztowych

• Języki publikacji: EN

Abstrakty

EN

In this paper a new method of a handwritten characters recognition is introduced. The proposed algorithm is applied to classification of post mails on the basis of postal code information. In connection with this work the research was conducted with numeric characters used in real post code of mail pieces. Moreover, the article contains image processing, for instance, filtration of Radon transformation of the character. The main objective of this article is to use the Radon transform parameter space to obtain a set of moment features on basis of which postal code will be recognized.

PL

W artykule przedstawiono nowe rozwiązanie zadania rozpoznawania znaków pisanych ręcznie dla zastosowań pocztowych. Zaproponowano algorytm klasyfikacji przesyłek pocztowych działający na podstawie informacji zawartej w zapisie kodu pocztowego. Główny nacisk położono na wykorzystanie transformaty Radona i momentów Zernike do uzyskania zbioru cech, na podstawie, których rozpoznawano kod pocztowy. Otrzymane wyniki eksperymentów pozwoliły wykazać skuteczno ść proponowanej metody.

Słowa kluczowe

EN

character recognition; radon transform; Zernike moments

PL

rozpoznawanie znaków; transformata Radona; momenty Zernike

• Wydawca: Wydawnictwa Uczelniane Politechniki Bydgoskiej im. Jana i Jędrzeja Śniadeckich
• Czasopismo: Zeszyty Naukowe. Telekomunikacja i Elektronika / Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy
• Rocznik: 2013
• Tom: z. 17
• Strony: 17--26
• Opis fizyczny: Bibliogr. 20 poz., rys.

Twórcy

autor

Miciak M.

• Institute of Telecommunications and Computer Science Faculty of Telecommunications, Computer Science and Electrical Engineering University of Technology and Life Sciences (UTP) ul. Kaliskiego 7, 85-789 Bydgoszcz, Poland

autor

Wiatr R.

• Institute of Telecommunications and Computer Science Faculty of Telecommunications, Computer Science and Electrical Engineering University of Technology and Life Sciences (UTP) ul. Kaliskiego 7, 85-789 Bydgoszcz, Poland

autor

Andrysiak T.

• Institute of Telecommunications and Computer Science Faculty of Telecommunications, Computer Science and Electrical Engineering University of Technology and Life Sciences (UTP) ul. Kaliskiego 7, 85-789 Bydgoszcz, Poland

autor

Maszewski M.

• Institute of Telecommunications and Computer Science Faculty of Telecommunications, Computer Science and Electrical Engineering University of Technology and Life Sciences (UTP) ul. Kaliskiego 7, 85-789 Bydgoszcz, Poland

Bibliografia

• [1] Aissaoui A., 1999. Normalised Fourier Coefficients for Cursive Arabic Script recognition, Universite Mohamed, Morocco.
• [2] Asano A., 2002. Radon transformation and projection theorem, Topic 5, Lecture notes of subject Pattern information processing, http://kuva.mis.hiroshimau. ac.jp/~asano/Kougi/02a/PIP/
• [3] Averbuch A., Coifman R.R., 2001. Fast Slant Stack: A notion of Radon Transform for Data in a Cartesian Grid which is Rapidly Computible, SIAM J. Scientific Computing.
• [4] Poularikas A.D., 1990. Chebyshew Polynomials, The Handbook of Formulas and Tables for Signal Processing, CRC Press LLC.
• [5] Bellili A.; Giloux M. (2003). An MLP-SVM combination architecture for handwritten digit recognition, International Journal on Document Analysis and Recognition, Springer-Verlag.
• [6] Bracewell R.N., 1995. Two-Dimensional Imaging. Englewood Cliffs. Prentice Hall, 505-537.
• [7] Forella G., 2000. Word perfect. Postal Technology. UKIP Media & Events Ltd UK.
• [8] Mukundan R., Ramakrishnan K.R., 1998. Moment Functions in Image Analysis: Theory and Applications. World Scientific.
• [9] Kaufmann G., Bunke H., 2000. Automated Reading of Cheque Amounts. Pattern Analysis & Applications, Springer-Verlag.
• [10] Kupce E., Freeman R., 2004. The Radon Transform: A New Scheme for Fast Multidimensional NMR. Concepts in Magnetic Resonance, Wiley Periodicals 22, 4-11.
• [11] Lim J.S., 1990. Two-Dimensional Signal and Image Processing. Englewood Cliffs, Prentice Hall, 42-45.
• [12] Liu C., Sako H., 2002. Performance evaluation of pattern classifiers for handwritten character recognition. IJDAR, Springer-Verlag.
• [13] Miciak M., 2013. Inteligentny system Rozpoznawania i Klasyfikacji Przesyłek pocztowych. Ph.D. Thesis, University of Technology and Life Sciences.
• [14] Peter T., 1996. The Radon Transform – Theory and Implementation. PhD thesis, Dept. of Mathematical Modelling Section for DSP of Technical University of Denmark.
• [15] Ramos O., Valveny T. E., 2003. Radon Transform for Lineal Symbol Representation. The 7th International Conference on Document Analysis and Recognition.
• [16] Srihari S., Govindaraju V., Bouchaffra D., 1999. Recognition of Strings Using Nonstationary Markovian Models: An Application in ZIP Code Recognition. IEEE CSC on CV& PR 2, USA.
• [17] The UTF-8 encoding form, 2003. The UTF-8 encoding scheme. UCS Transformation Format 8, defined in Annex D of ISO/IEC 10646:2003.
• [18] Turk M.A., Pentland A.P., 1991. Face recognition using eigenfaces. Computer Soc. Conference on Computer Vision and Pattern Recognition, 586-591.
• [19] Venturas S., Flaounas I., 2005. Study of Radon Transformation and Application of its Inverse to NMR. Algorithms in Molecular Biology.
• [20] Volgunin A., Filatov A., 1997. Handwritten ZIP Code Recognition. 4th International Conference on Document Analysis and Recognition, USA.