Classification of Hebrew Calligraphic Handwriting Styles: Preliminary Results

Proceedings - First International Workshop on Document Image Analysis for Libraries - DIAL 2004

Volumn , Issue , 2004, Pages 299-305

  Yosef, Itay Bar ^a   Kedem, Klara ^a   Dinstein, Its'hak ^a   Belt Arie, Malachi ^b   Engel, Edna ^b  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER IMAGE PROCESSING; HANDWRITING RECOGNITION; HIDDEN MARKOV MODEL (HMM); NOISE FILTERING;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FUNCTIONS; IMAGE PROCESSING; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY; SET THEORY;

PATTERN RECOGNITION;

EID: 1942420245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DIAL.2004.1263258     Document Type: Conference Paper

References (31)

1. M. Beit-Arie, Paleographical Identification of Hebrew Manuscripts; Methodology and Practice, in idem, The Making of the Medieval Hebrew Book, The Magnes Press, The Hebrew University, Jerusalem, 1991, pp. 15-44.
2. G. Nagy, Twenty Years of Document Image Analysis in PAMI, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, January 2000, pp. 38-62.
3. R. Palmondon and S. N. Srihari, On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, January 2000, pp. 63-84.
4. K. Etemad, D. Doermann, and R. Chellappa, Multiscale Segmentation of Unstructured Document Pages Using Soft Decision Integration, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 1, January 1997, pp. 92-96.
5. J. Liang, I.T.Phillips, and R. M. Haralick, An Optimization Methodology for Document Structure Extraction on Latin Character Documents, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 7, July 2001, pp. 719-734.
6. R. G. Casey and E. Lecolinet, A Survey of Methods and Strategies in Character Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 7, July 1996, pp. 690-706.
7. L. A. Fletcher and R. Kasturi, A Robast Algorithm for Text String Separation From Mixed Text/Graphics Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 10, No. 6, November 1988, pp. 910-918.
8. G. Nagy and S. Seth, Hierarchical Representation of Optically Scanned Documents, Proceedings of The Seventh International Conference on Pattern Recognition, 1984, pp. 347-349.
9. G. Agam and I. Dinstein, Adaptive Directional Mathematical Morphology with Applications to Document Analysis. Mathematical Morphology and its Applications to Image and Signal Processing, P. Maragos, R.W. Schafer, and M. A. Butt, Editors, Kluwer Academic Publishers, 1996.
10. O. D. Trier, A.K. Jain, and T. Taxt, Feature Extraction Methods for Character Recognition - A Survey, Pattern Recognition, Vol. 29, No. 4, 1996, pp. 641-662.
11. T. Steinherz, E. Rivlin, and N. Interator, Offline Cursive Script Word Recognition - A Survey, International Journal of Document Analysis and Recognition, 1999, pp. 90-110.
12. L. R. Rabiner, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, IEEE Proceedings, Vol. 77, No. 2, 1989, pp.257-286.
13. S. H. Cha and S.N. Srihari,Multiple Feature Integration for Writer Verification, in The Proceedings of the Seventh Workshop on Frontiers in Handwriting Recognition, L. R. B. Schomaker and L.G. Vuurpiji Editors, September 2000, Amsterdam, pp. 333-342.
14. H.E.S. Said, T.N. Tan and K. D. Baker, Personal Identification Based on Handwriting, Pattern Recognition,vol.33, no.l, pp.149-160, 2000.
15. Y. Yamazaki and N. Komatsu, A proposal for Text-Indicated Writer Verification Method. Proceedings of ICDAR97
16. E.N. Zois, and V. Anastassopouls, Fusion of Correlated Decisions for Writer Verification, Pattern Recognition, vol. 32, NO. 10, pp. 1821-1823, 1999
17. J.M. Fournier and J.C. Vienot, Fourier Transform Holograms Used as Matched Filters in Hebraic Paleography, Israel Journal of Technology, 1971, pp. 281-287.
18. C. Sirat, L'examen des 'critures: L'oeil et la machine, Paris, Editions du Centre National de la Recherche Scientifique, 1981.
19. I. Dinstein and Y. Shapira, Ancient Hebraic Handwriting Identification with Run-Length Histograms, IEEE Transactions on Systems Man and Cybernetics, Vol. 12, 1982, pp. 405-409.
20. L. Likforman-Sulem, H. Maitre, and C. Sirat, "An Expert Vision System for Analysis of Hebrew Characters and Authentication of Manuscripts", Pattern Recognition, Vol. 24, No. 2, 1991,
21. H.S. Don, A noise attribute thresholding method for document image binarization, Proceeding of 3rd International Conference on Document Analysis and Recognition, Canada, 1995, pp. 231-234.
22. H. Negishi, J. Kato, H, Hase and T. Watanabe, Character extraction from noisy background for an automatic reference system, Proceedings of 5th International Conference on Document Analysis and Recognition, India, 1999. pp. 143-146.
23. Y. Liu and S.N. Srihari, Document image binarization based on texture features, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 5, May 1997, pp. 540-544.
24. C.L. Tan, R. Cao, P. Shen, Q. Wang, J. Chee and J. Chang, Removal of interfering strokes in double-sided document images, IEEE Workshop on the Application of Computer Vision, WACV2000, California, 4-6 Dec 2000. pp. 16-21.
25. G. Leedham, C. Van, K. Takru, J. Hadi, N. Tan, L. Mian, Comparison of some thresholding Algorithms for Text/Background Segmentation in Difficult Document Images. Proceeding of 7th International Conference on Document Analysis and Recognition, Scotland, 2003, pp. 859-865.
26. W. Niblack, An Introduction to Digital Image Proccesing, pp.115-116, Prentice Hall, 1986.
27. Y. Solihin, C.G.Leedham, Integral Ratio:A New class of Global Thresholding Techniques for Handwritten Images, IEEE Trans. PAMI, vol.21, no, 8, pp.761-768, August 1999. pp. 121-137.
28. S.D. Yanowitz and A.M.Bruckstein, A new Method for image segmentation, Computer Vision, Graphics and Image Proccesing, vol.46, no.l, pp.82-95, Apr.1989.
29. N. Otsu A threshold Selection Method from Gray-Level Histogram, IEEE Trans. Systems, Man and Cybernetics, vol 9, pp. 62-66, 1979.
30. J.N. Kapur, P.K. Sahoo, and A.K.C. Wong, A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram, Computer Vision, Graphics and Image Processing, vol .29, pp. 273-285, 1985.
31. J.B McQueen, Some methods of classification and analysis of multivariate observations, Proc. 5th Berkeley Symposium in Mathematics, Statistics and Probability, vol 1., pp. 281-296, Univ. of California, Berkeley, USA, 1967