A statistically based, highly accurate text-line segmentation method

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

Volumn , Issue , 1999, Pages 555-558

  Liang, Jisheng ^a   Phillips, Ihsin T ^b   Haralick, Robert M ^a  

^a University of Washington   (United States)

^b SEATTLE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY;

HIGHLY ACCURATE; MEASUREMENTS OF; ON LINE SEGMENTATION; SCANNED DOCUMENT IMAGES; SEGMENTATION TECHNIQUES; TEXT LINE SEGMENTATION; TEXT LINES; TRAINING SETS;

IMAGE SEGMENTATION;

EID: 84983387326     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.1999.791847     Document Type: Conference Paper

References (6)

1. D. J. Ittner and H. S. Baird, Language-Free Layout analysis, ICDAR'93, pp. 336-340, October 1993, Tsukuba, Japan.
2. T. Pavlidis and J. Zhou, Page Segmentation and Classification, CVGIP, Graphical Models and Image Processing, Vol. 54, pp. 484-496, November 1992.
3. G. Nagy and S. Seth, Hierarchical Representation of Optically Scanned Documents, ICPR'84, pp. 347-349, July 1984, Montreal, Canada.
4. J. Ha, R. M. Haralick and I. Phillips, Document Page Decomposition by the Bounding-Box Projection, ICDAR'95, pp. 1119-1122, August 1995, Montreal, Canada.
5. S. Chen, R. M. Haralick and I. Phillips, Extraction of Text Lines and Text Blocks on Document Images Based on Statistical Modeling, International Journal of Imaging Systems and Technology, Vol. 7, No. 4, pp. 343-356, Winter, 1996.
6. I. Phillips, Users' Reference Manual, CD-ROM, UW-III Document Image Database-III, 1995.