A front-end OCR for omni-font Persian/Arabic cursive printed documents

Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005

Volumn 2005, Issue , 2005, Pages 385-392

  Mehran, Ramin ^a,b   Pirsiavash, Hamed ^b,c   Razzazi, Farbod ^b  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b Paya Soft Co   (Iran)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; DATABASE SYSTEMS; LEARNING SYSTEMS; PATTERN RECOGNITION;

ADAPTIVE LAYOUT ANALYSIS; CURSIVE DOCUMENTS; NON CURSIVE SCRIPTS; PRINTED SCRIPTS;

OPTICAL CHARACTER RECOGNITION;

EID: 33847000201     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2005.1578154     Document Type: Conference Paper

References (18)

1. A. Amin, "Off line Arabic character recognition - a survey", Proceedings of the International Conference on Document Analysis and Recognition, vol.2, pp. 596-599, 1997.
2. Y. Lecun,L. Bottou,Y. Bengio, P. Haffner, "Gradient-based learning applied to document recognition", Proceedings of the IEEE, vol. 86, no. 11, IEEE, pp. 2278-2324, USA, Nov. 1998.
3. G. NAGY, "Twenty years of document image analysis in P AMI", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, 1, pp. 38-62, Jan 2000.
4. B. Al-Badr, RM. Haralick, "Segmentation-free word recognition with application to Arabic", Proceedings of the Third International Conference on Document Analysis and Recognition, Part vol.1, IEEE Comput. Soc. Press., Los Alamitos, CA, USA, pp. 355-359, 1995.
5. I. Bazzi, R. Schwartz, J. Makhoul, "An omnifont open-vocabulary OCR system for English and Arabic", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 21, no. 6, IEEE Comput. Soc., pp. 495-504, USA, June 1999.
6. AH. Hassin,Tang, Xiang-Long,Liu, Jia-Feng,Zhao Wei, "Printed Arabic character recognition using HMM", Journal of Computer Science & Technology, vol. 19, no. 4, Science Press, pp. 538-543, China, Jul 2004.
7. A. Cheung, M. Bennamoun, NW. Bergmann, "An Arabic optical character recognition system using recognition-based segmentation", Pattern Recognition, vol. 34, no. 2, Elsevier, pp. 215-233, UK., Feb. 2001.
8. H. Weissman,M. Schenkel,I. Guyon,C. Nohl,D. Henderson, "Recognition-based segmentation of on-line run-on handprinted words: input vs. output segmentation", Pattern Recognition, vol. 27, no. 3, UK., pp. 405-420, March 1994.
9. R. Azmi, E. Kabir, "A new segmentation technique for ominifont farsi text", Pattern Recognition Letters, vol. 22, no. 2, pp. 97-104, 2001.
10. R.C. Gonzalez, P. Wintz, Digital Image Processing, Addison Wesley Publishing Company, 2nd Edition, pp. 392-423, 1987.
11. Zhixin Shi, Venu Govindaraju, "Skew Detection for Complex Document Images Using Fuzzy Runlength", ICDAR 2003: pp. 715-719, 2003.
12. S.L. Chiu, "Fuzzy model identification based on cluster estimation", Journal of Intelligent Fuzzy Systems, vol. 2, pp. 267-278, 1994.
13. A. Simon, J.C. Pret, and A.P. Johnson, A fast algorithm for bottom-up document layout analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, 3 (March 1997), pp. 273-277.
14. H. Pirsiavash, R. Mehran, and F. Razzazi, "A Robust Free Size OCR for Omni-font Persian/Arabic Printed Document using MLP/SVM," 10th Iberoamerican Congress on Pattern Recognition, Havana, Cuba, Springer LNCS 3773, pp. 601-610, Nov. 2005.
15. S. Haykin, Adaptive Filter Theory, 3rd edition, Upper Saddle River, NJ: Prentice-Hall, 1996.
16. H. Pirsiavash F. Razzazi, "Design and Implementation of a Hierarchical Classifier for Isolated Handwritten Persian/Arabic Characters", IJCI Proceedings of International Conference on Signal Processing, Vol. 1, no. 2, Turkey, September 2003.
17. M. Kavianifar, A. Amin, "Preprocessing and structural feature extraction for a multi-fonts Arabic/Persian OCR", Conference on Document Analysis and Recognition, IEEE Computer Soc., pp. 213-216. Los Alamitos, CA, USA, 1999.
18. BM. Kurdy, MM. Al Sabbagh, "Omnifont Arabic optical character recognition system", Proceedings of Int. Conf. on Information and Communication Technologies: From Theory to Applications, IEEE, Piscataway, NJ, USA, pp. 469-70, 2004.