Natural image character recognition using oriented basic image features

Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011

Volumn , Issue , 2011, Pages 191-196

  Newell, Andrew J ^a   Griffin, Lewis D ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

character recognition; multiscale features; oBIF columns; oBIFs

Indexed keywords

DATA SETS; HANDWRITTEN DOCUMENT; IMAGE FEATURES; LOCAL SYMMETRY; MULTI-SCALE FEATURES; NATURAL IMAGES; OBIFS; SYSTEM-BASED;

DISCRETE COSINE TRANSFORMS;

CHARACTER RECOGNITION;

EID: 84857011849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2011.39     Document Type: Conference Paper

References (12)

1. D. G. Lowe, "Object recognition from local scale-invariant features,"in Proc. International Conference on Computer Vision (ICCV'99), pp. 1150-1157, 1999.
2. T. E. de Campos, B. R. Babu, and M. Varma, "Character recognition in natural images," in Proceedings of the International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, February 2009.
3. S. Belongie, J. Malik, and J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, pp. 509-522, April 2002. (Pubitemid 34448769)
4. A. C. Berg, T. L. Berg, and J. Malik, "Shape matching and object recognition using low distortion correspondence," in CVPR, vol. 1, pp. 26-33, 2005.
5. K. Wang and S. Belongie, "Word spotting in the wild," in ECCV (K. Daniilidis, P. Maragos, and N. Paragios, eds.), vol. 6311, pp. 591-604, Springer, 2010.
6. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in CVPR, vol. 1, pp. 886-893, 2005.
7. L. D. Griffin, "The second order local-image-structure solid," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, pp. 1355-1366, 2007.
8. L. D. Griffin and M. Lillholm, "Symmetry sensitivities of derivative-of-gaussian filters," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 1072-1083, 2010.
9. M. Crosier and L. Griffin, "Using basic image features for texture classification,"International Journal of Computer Vision, vol. 88, pp. 447-460, January 2010.
10. A. J. Newell, L. D. Griffin, R. M. Morgan, and P. A. Bull, "Texture-based estimation of physical characteristics of sand grains," in Proceedings of the International Conference on Digital Image Computing: Techniques and Applications Sydney, pp. 504-509, 2010.
11. T. Kailath, "The divergence and bhattacharyya distance measures in signal selection," IEEE Transactions on Communications Technology, vol. 15(1), pp. 52-60, 1967.
12. S. M. Lucas, A. Panaretos, L. Sosa, A. Tang, S. Wong, and R. Young, "ICDAR 2003 robust reading competitions," in In Proceedings of the Seventh International Conference on Document Analysis and Recognition, pp. 682-687, IEEE Press, 2003.