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DOI: 10.14569/IJACSA.2012.030301
PDF

A New Approach for Arabic Handwritten Postal Addresses Recognition

Author 1: Moncef Charfi
Author 2: Monji Kherallah
Author 3: Abdelkarim El Baati
Author 4: Adel M. Alimi
Author 5:

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 3, 2012.

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Abstract: In this paper, we propose an automatic analysis system for the Arabic handwriting postal addresses recognition, by using the beta elliptical model. Our system is divided into different steps: analysis, pre-processing and classification. The first operation is the filtering of image. In the second, we remove the border print, stamps and graphics. After locating the address on the envelope, the address segmentation allows the extraction of postal code and city name separately. The pre-processing system and the modeling approach are based on two basic steps. The first step is the extraction of the temporal order in the image of the handwritten trajectory. The second step is based on the use of Beta-Elliptical model for the representation of handwritten script. The recognition system is based on Graph-matching algorithm. Our modeling and recognition approaches were validated by using the postal code and city names extracted from the Tunisian postal envelopes data. The recognition rate obtained is about 98%.

Keywords: Postal automation; handwritten postal address; address segmentation; beta-elliptical representation; graph matching.

Moncef Charfi, Monji Kherallah, Abdelkarim El Baati, Adel M. Alimi and , “A New Approach for Arabic Handwritten Postal Addresses Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 3(3), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030301

@article{Charfi2012,
title = {A New Approach for Arabic Handwritten Postal Addresses Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030301},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030301},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {3},
author = {Moncef Charfi and Monji Kherallah and Abdelkarim El Baati and Adel M. Alimi and }
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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