Locating text in historical collection manuscripts

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3025, Issue , 2004, Pages 476-485

  Gatos, Basilios ^a   Pratikakis, Ioannis ^a,b   Perantonis, Stavros J ^a  

^a INSTITUTE OF INFORMATICS AND TELECOMMUNICATIONS   (Greece)

^b UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; IMAGE QUALITY; IMAGE SEGMENTATION; PROJECT MANAGEMENT; RESEARCH AND DEVELOPMENT MANAGEMENT; HISTORY;

ADAPTIVE THRESHOLDING TECHNIQUES; DIGITAL IMAGE BINARIZATION; DIGITIZED DOCUMENTS; HELLENIC MANUSCRIPTS; ADAPTIVE THRESHOLDING; DEGRADATION PROCESS; HISTORICAL DOCUMENTS; INTEGRATED SYSTEMS; NOVEL METHODOLOGY; STATE-OF-THE-ART TECHNIQUES; TEXT IDENTIFICATION; TEXTUAL INFORMATION;

PATTERN RECOGNITION; ARTIFICIAL INTELLIGENCE;

EID: 9444232796     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24674-9_50     Document Type: Conference Paper

References (18)

1. nd edition, Academic Press, New York (1982).
2. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Systems Man Cybernet. 9 (1) (1979) 62-66.
3. Kittler, J., Illingworth, J.: On threshold selection using clustering criteria. IEEE Trans. Systems Man Cybernet. 15 (1985) 652-55.
4. Brink, A. D.: Thresholding of digital images using two-dimensional entropies. Pattern Recognition 25 (8) (1992) 803-808.
5. Yan, H.: Unified formulation of a class of image thresholding techniques. Pattern Recognition 29(12) (1996) 2025-2032.
6. Sahoo, P. K., Soltani, S., Wong, A. K. C: A survey of Thresholding Techniques. Computer Vision, Graphics and Image Processing, 41(2) (1988) 233-260.
7. Kim, I. K., Park, R. H.: Local adaptive thresholding based on a water flow model. Second Japan-Korea Joint Workshop on Computer Vision, Japan (1996) 21-27.
8. Niblack, W.: An Introduction to Digital Image Processing. Englewood Cliffs, N. J., Prentice Hall (1986) 115-116.
9. Yang, J., Chen, Y., Hsu, W.: Adaptive thresholding algorithm and its hardware implementation. Pattern Recognition Lett. 15(2) (1994) 141-150.
10. Parker, J. R., Jennings, C., Salkauskas, A. G.: Thresholding using an illumination model. ICDAR'93 (1993) 270-273.
11. Sauvola, J., Seppanen, T., Haapakoski, S., Pietikainen, M.: Adaptive Document Binarization. International Conference on Document Analysis and Recognition (1997) 147-152.
12. Chang, M., Rang, S.,Rho, W., Kim, H., Kim, D.: Improved binarization algorithm for document image by histogram and edge detection. ICDAR'95 (1993) 636-643.
13. Trier, O. D., Jain, A. K.: Goal-Directed Evaluation of Binarization Methods. IEEE Trans. on Patt. Anal. and Mach. Intell., 17(12) (1995) 1191-1201.
14. Eikvil, L., Taxt, T., Moen, K.: A fast adaptive method for binarization of document images. Int. Conf. Document Analysis and Recognition, France (1991) 435-443.
15. Seeger, M., Dance, C.: Binarising Camera Images for OCR. Sixth International Conference on Document Analysis and Recognition (ICDAR'01), Seattle, Washington (2001) 54-58.
16. Jain, A.: Fundamentals of Digital Image Processing. Prantice Hall, Englewood Cliffs, NJ (1989).
17. www.finereader.com
18. Levenshtein, V. I.: Binary codes capable of correcting deletions, insertions and reversals. Sov. Phys. Dokl., 6 (1966) 707-710.