Character recognition under severe perspective distortion

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

Volumn , Issue , 2009, Pages 676-680

  Zhou, Peng ^a   Li, Linlin ^a   Tan, Chew Lim ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS-RATIOS; DYNAMIC TIME WARPING; INDEXING METHODS; PERSPECTIVE DISTORTION; REAL SCENES; RECOGNITION ACCURACY; SPEED-UPS; TIME COMPLEXITY;

DEFORMATION; INDEXING (OF INFORMATION);

CHARACTER RECOGNITION;

EID: 71249126774     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.86     Document Type: Conference Paper

References (15)

1. X. Chen and A. L. Yuille. Detecting and reading text in natural scenes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
2. P. Clark and M. Mirmehdi. Recognizing text in real scenes. International Journal Document Analysis and Recognition, 4(4):243-257, 2004.
3. K. Gollmer and C. Posten. Detection of distorted pattern using dynamic time warping algorithm and application for supervision of bioprocesses. In Preprints of the IFAC Workshop on On-line Fault Detection and Supervision in the Chemical Process Industries, 1995.
4. F. Itakura. Minimum prediction residual principle applied to speech recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 23:52-72, 1975.
5. E. Keogh and S. Kasetty. On the need for time series data mining benchmarks: a survey and empirical demonstration. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 102 - 111, 2004.
6. E. Keogh and M. Pazzani. Scaling up dynamic time warping for datamining applications. In Proceedings of the 6th ACM International Conference on Knowledge Discovery and Data Mining, pages 285-289, 2000.
7. L. Li and C. Tan. Character recognition under severe perspective distortion. In Proceedings of the 19th International Conference on Pattern Recognition, 2008.
8. S. Lu, B. M. Chen, and C. C. Ko. Perspective rectification of document images using fuzzy set and morphological operations. Image and Vision Computing, 23(5):541-553, 2005.
9. S. Lu and C. L. Tan. Camera text recognition based on perspective invariants. In Proceedings of the 18th International Conference on Pattern Recognition, volume 2, pages 1042-1045, 2006.
10. G. Myers, R. Bolles, Q. Luong, and J. Herson. Rectification and recognition of text in 3-D scenes. International Journal Document Analysis and Recognition, 7(2-3):147-158, 2005.
11. N. Otsu. A threshold selection method from gray level histograms. IEEE Transactions on Systems, Man and Cybernetics, 9(1):62-66, 1979.
12. M. Pilu. Extraction of illusory linear clues in perspectively skewed documents. In Proceedings of IEEE on Computer Vision and Pattern Recognition, volume 1, pages 363-368, 2001.
13. H. Sakoe and S. Chiba. Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 26:59-165, 1978.
14. S. Salvador and P. Chan. Toward accurate dynamic time wrapping in linear time and space. Intelligent Data Analysis, 11:561-580, 2007.
15. B. Yi, H. Jagadishand, and C. Faloutsos. Efficient retrieval of similar time sequences under time warping. In Proceedings of 14th International Conference on Data Engineering, pages 201-208, 1998.