Text line segmentation in handwritten documents using Mumford-Shah model

Pattern Recognition

Volumn 42, Issue 12, 2009, Pages 3136-3145

  Du, Xiaojun ^a   Pan, Wumo ^a   Bui, Tien D ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Handwritten documents; Image segmentation; Mumford Shah model; Text line detection

Indexed keywords

DOCUMENT IMAGE PROCESSING; HANDWRITTEN DOCUMENT; HANDWRITTEN DOCUMENTS; MORPHING; MUMFORD-SHAH MODEL; SCRIPT-INDEPENDENT; TEXT LINE DETECTION; TEXT LINE SEGMENTATION; TEXT LINES;

DIGITAL IMAGE STORAGE; FEEDFORWARD NEURAL NETWORKS;

IMAGE SEGMENTATION;

EID: 68249099234     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.12.021     Document Type: Article

References (17)

1. Mumford D., and Shah J. Optimal approximation by piecewise smooth functional and associated variational problems. Commun. Pure Appl. Math. 42 (1989) 577-685
2. Osher S., and Sethian J. Fronts propagating with curvature-dependent speed: algorithm based on the Hamilton-Jacobi formulation. J. Comput. Phys. 79 (1988) 12-49
3. Chan T.F., and Vese L.A. Active contours without edges. IEEE Trans Image Process. 10 2 (2001) 266-277
4. Y. Li, Y. Zheng, D. Doermann, S. Jaeger, A new algorithm for detecting text line in handwritten documents, in: Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, 2006, pp. 35-40.
5. Aubert G., and Kornprobst P. Mathematical Problem in Image Processing: Partial Differential Equations and the Calculus of Variations vol. 147 (2002), Springer, New York
6. Tsai A., Yezzi A., and Willsky A.S. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification. IEEE Trans. Image Process. 10 8 (2001) 1169-1186
7. Sethian J.A. Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics (1996), Cambridge University Press, Cambridge
8. Gao S., and Bui T.D. Image segmentation and selective smoothing by using Mumford-Shah model. IEEE Trans. Image Process. 14 10 (2005) 1537-1549
9. Li Y., Zheng Y., Doermann D., and Jaeger S. Script-independent text line segmentation in freestyle handwritten documents. IEEE Trans. Pattern Anal. Mach. Intell. 30 8 (2008) 1313-1329
10. Jain A.K., and Yu B. Document representation and its application to page decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 20 3 (1998) 294-308
11. Nagy G. Twenty years of document image analysis in PAMI. IEEE Trans. Pattern Anal. Mach. Intell. 22 1 (2000) 38-62
12. D. Doermann, Page decomposition and related research, in: Proceedings of the Symposium Document Image Understanding Technology, 1995, pp. 39-55.
13. Tang Y.Y., Chang D.Y., and Suen C.Y. Document processing for automatic knowledge acquisition. IEEE Trans. Knowl. Data Eng. 6 1 (1994) 3-21
14. C. Weliwitage, A.L. Harvey, A.B. Jennings, Handwritten document offline text line segmentation, in: Proceedings of Digital Imaging Computing: Techniques and Applications, 2005, pp. 184-187.
15. S. Nicolas, T. Paquet, L. Heutte, Text line segmentation in handwritten document using a production system, in: Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004, pp. 245-250.
16. O'Gorman L. The document spectrum for page layout analysis. IEEE Trans. Pattern Anal. Mach. Intell. 15 11 (1993) 1162-1173
17. M. Bulacu, R. Koert, L. Schomaker, T. Zant, Layout analysis of handwritten historical documents for searching the archive of the Cabinet of the Dutch Queen, in: Proceedings of the ICDAR, 2007, pp. 357-361.