A steerable directional local profile technique for extraction of handwritten Arabic text lines

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2009, Pages 176-180

  Shi, Zhixin ^a   Setlur, Srirangaraj ^a   Govindaraju, Venu ^a  

^a the State University of New York   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE THRESHOLDING; ARABIC DOCUMENT; ARABIC TEXTS; COMPLEX PROBLEMS; CONNECTED COMPONENT; CONNECTED COMPONENT ANALYSIS; DIRECTIONAL FILTERS; DOCUMENT IMAGES; HANDWRITTEN DOCUMENT; HANDWRITTEN TEXTS; LOCAL CONNECTIVITY; PATTERN MASK; STEERABLE FILTERS; TEXT LINES;

DIGITAL IMAGE STORAGE; IMAGE SEGMENTATION;

ADAPTIVE ALGORITHMS;

EID: 71249099126     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.79     Document Type: Conference Paper

References (14)

1. T. Pavlidis and J. Zhou, "Page segmentation by white streams," Proc. 1st Int. Conf. Document Analysis and Recognition (ICDAR),Int. Assoc. Pattern Recognition, pp. 945-953, 1991.
2. G. Ciardiello, G. Scafuro, M. T. Degrandi, M. R. Spada, and M. P. Roccotelli, "An experimental system for office document handling and text recognition," Proc 9th Int. Conf. on Pattern Recognition, pp. 739-743, 1988.
3. S. C. S. G. Nagy and S. D. Stoddard, "Document analysis with expert system," Procedings of Pattern Recognition in Practice II, June 1985.
4. S. N. Srihari and V. Govindaraju, "Analysis of textual images using the hough transform," Machine Vision and Applications, vol. 2, pp. 141-153, 1989.
5. L. O'Gorman, "The document spectrum for page layout analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1162-1173, 1993.
6. L. Likforman-Sulem and C. Faure, "Extracting text lines in handwritten documents by perceptual grouping," in Advances in handwriting and drawing :a multidisciplinary approach. C. Faure, P.Keuss, G.Lorette and A.Winter Eds, Europia,Paris, 1994, pp. 117-135.
7. M. Feldbach and K. D. Tonnies, "Line detection and segmentation in historical church registers," in ICDAR '01: Proceedings of the Sixth International Conference on Document Analysis and Recognition (ICDAR '01). IEEE Computer Society, 2001, pp. 743-747.
8. Y. Pu and Z. Shi, "A natural learning algorithm based on hough transform for text lines extraction in handwritten documents," in Proceedings sixth International Workshop on Frontiers of Handwriting Recognition, 1998, pp. 637-646.
9. S. Nicolas, T. Paquet, and L. Heutte, "Text line segmentation in handwritten document using a production system," in IWFHR '04: Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04). IEEE Computer Society, 2004, pp. 245-250.
10. E. Bruzzone and M. C. Coffetti, "An algorithm for extracting cursive text lines," in ICDAR '99: Proceedings of the Fifth International Conference on Document Analysis and Recognition. IEEE Computer Society, 1999, p. 749.
11. Z. Shi, S. Setlur, and V. Govindaraju, "Text extraction from gray scale historical document images using adaptive local connectivity map," in ICDAR '05: Proceedings of the Seventh International Conference on Document Analysis and Recognition. IEEE Computer Society, 2005, pp. 794-798.
12. Z. Shi and V. Govindaraju, "Line separation for complex document images using fuzzy runlength," in DIAL '04: Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04). IEEE Computer Society, 2004, p. 306.
13. E. Giuliano, O. Paitra, and L. Stringa, Electronic character reading system. U.S. Patent No. 4047152, Sep. 1977.
14. Z. Shi and V. Govindaraju, "Segmentation and recognition of connected handwritten numeral strings," Journal of Pattern Recognition, vol. 30, no. 9, pp. 1501-1504, 1997.