Scene text recognition using part-based tree-structured character detection

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 2961-2968

  Shi, Cunzhao ^a   Wang, Chunheng ^a   Xiao, Baihua ^a   Zhang, Yang ^a   Gao, Song ^a   Zhang, Zhong ^a  

^a CASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER LOCATIONS; CONDITIONAL RANDOM FIELD; LINGUISTIC KNOWLEDGE; SPATIAL CONSTRAINTS; STATE-OF-THE-ART METHODS; STRUCTURE INFORMATION; VISION COMMUNITIES; WORD RECOGNITION;

FORESTRY; IMAGE SEGMENTATION; VOCABULARY CONTROL;

CHARACTER RECOGNITION;

FORESTRY; IMAGE ANALYSIS; SEGMENTATION;

EID: 84887365560     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.381     Document Type: Conference Paper

References (22)

1. Abbyy finereader 9. 0. http://www. abbyy. com.
2. X. Chen and A. Yuille. Detecting and reading text in natural scenes. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages II-366. IEEE, 2004.
3. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 886-893, 2005.
4. T. de Campos, B. Babu, and M. Varma. Character recognition in natural images. In VISAP, 2009.
5. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9):1627-1645, 2010.
6. P. Felzenszwalb and D. Huttenlocher. Pictorial structures for object recognition. International Journal of Computer Vision, 61(1):55-79, 2005.
7. T. Judd, K. Ehinger, F. Durand, and A. Torralba. Learning to predict where humans look. In IEEE 12th International Conference on Computer Vision (ICCV), pages 2106-2113. IEEE, 2009.
8. V. Kolmogorov. Convergent tree-reweighted message passing for energy minimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10):1568-1583, 2006.
9. S. Lucas, A. Panaretos, L. Sosa, A. Tang, S. Wong, and R. Young. Icdar 2003 robust reading competitions. In Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR), volume 2, pages 682-687, 2003.
10. A. Mishra, K. Alahari, and C. V. Jawahar. Scene text recognition using higher order langauge priors. In BMVC, 2012.
11. A. Mishra, K. Alahari, and C. V. Jawahar. Top-down and bottom-up cues for scene text recognition. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition( CVPR), 2012.
12. L. Neumann and J. Matas. Real-time scene text localization and recognition. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
13. A. Newell and L. Griffin. Multiscale histogram of oriented gradient descriptors for robust character recognition. In International Conference on Document Analysis and Recognition (ICDAR), pages 1085-1089. IEEE, 2011.
14. N. Otsu. A threshold selection method from gray-level histograms. Automatica, 11:285-296, 1975.
15. J. Pearl. Probabilistic reasoning in intelligent systems: Networks of plausible inference. Morgan Kauffman, 1988.
16. A. Shahab, F. Shafait, and A. Dengel. Icdar 2011 robust reading competition challenge 2: Reading text in scene images. In International Conference on Document Analysis and Recognition (ICDAR), pages 1491-1496. IEEE, 2011.
17. A. Stolcke et al. Srilm-an extensible language modeling toolkit. In Proceedings of the international conference on spoken language processing, volume 2, pages 901-904, 2002.
18. K. Wang, B. Babenko, and S. Belongie. End-to-end scene text recognition. In International Conference on Computer Vision (ICCV), 2011.
19. K. Wang and S. Belongie. Word spotting in the wild. Computer Vision-ECCV, pages 591-604, 2010.
20. Z. Xiangxin and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. pages 2879-2886, 2011.
21. Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1385-1392. IEEE, 2011.
22. M. Yokobayashi and T. Wakahara. Segmentation and recognition of characters in scene images using selective binarization in color space and gat correlation. In Proceedings. Eighth International Conference on Document Analysis and Recognition (ICDAR), pages 167-171. IEEE, 2005.