Scene character detection and recognition with cooperative multiple-hypothesis framework

IEICE Transactions on Information and Systems

Volumn E96-D, Issue 10, 2013, Pages 2235-2244

  Huang, Rong ^a   Shivakumara, Palaiahnakote ^b,c   Feng, Yaokai ^a   Uchida, Seiichi ^a  

^a KYUSHU UNIVERSITY   (Japan)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Cooperative multiple hypothesis framework; Integration; OCR; Scene character; Voting

Indexed keywords

ASPECT RATIO; EXPERIMENTS; OPTICAL CHARACTER RECOGNITION;

ADDITIONAL EXPERIMENTS; ARBITRARY ORIENTATION; COOPERATIVE MULTIPLE-HYPOTHESIS FRAMEWORK; INTEGRATION MODULES; OPTICAL CHARACTER RECOGNITION (OCR); SCENE CHARACTER; STATE-OF-THE-ART METHODS; VOTING;

INTEGRATION;

EID: 84885062832     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1587/transinf.E96.D.2235     Document Type: Article

References (24)

1. B. Epshtein, E. Ofek, and Y. Wexler, "Detecting text in natural scenes with stroke width transform," CVPR, June 2010.
2. C. Yi and Y. Tian, "Localizing text in scene images by boundary clustering, stroke segmentation, and string fragment classification," IEEE Trans. Image Process., vol.21, no.9, pp.4256-4268, May 2012.
3. C. Yao, X. Bai, W. Liu, Y. Ma, and Z. Tu, "Detecting texts of arbitrary orientations in natural images," CVPR, June 2012.
4. Y. Pan, X. Hou, and C. Liu, "A hybrid approach to detect and localize texts in natural scene images," IEEE Trans. Image Process., vol.20, no.3, pp.800-813, March 2011.
5. K.Wang and S. Belongie, "Word Spotting in theWild," ECCV, Sept. 2010.
6. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," CVPR, June 2005.
7. A. Mishra, K. Alahari, and C. Jawahar, "Top-down and bottom-up cues for scene text recognition," CVPR, June 2012.
8. P. Clark and M. Mirmehdi, "Recognising text in real scenes," IJDAR, vol.4, pp.243-257, 2002.
9. D. Chen, J. Odobez, and H. Bourlard, "Text detection and recognition in images and viedo frames," Pattern Recognt., vol.37, no.3, pp.595-608, March 2004.
10. K. Wang, B. Babenko, and S. Belongie, "End-to-end scene text recognition," ICCV, Nov. 2011.
11. A. Bosch, A. Zisserman, and X. Munoz, "Image classification using random forests and ferns," ICCV, Oct. 2007.
12. P. Felzenszwalb and D. Huttenlocher, "Pictorial structures for object recognition," International Journal of Computer Vision, vol.61, no.1, pp.55-79, Jan. 2005.
13. L. Neumann and J. Matas, "Real-time scene text localization and recognition," CVPR, June 2012.
14. A. Shahab, F. Shafait, and A. Dengel, "ICDAR 2011 robust reading competition challenge 2: Reading text in scene image," ICDAR, Sept. 2011.
15. K. Jung, K. Kim, and A. Jain, "Text information extraction in images and video: A survey," Pattern Recognit., vol.37, no.5, pp.977-997, May 2004.
16. W. Kim and C. Kim, "A new approach for overlay text detection and extraction from complex video scene," IEEE Trans. Image Process., vol.18, no.2, pp.401-411, Feb. 2009.
17. X. Zhao, K. Lin, Y. Fu, et al., "Text from corners: A novel approach to detect text and caption in videos," IEEE Trans. Image Process., vol.20, no.3, pp.790-799, March 2011.
18. C. Li, X. Ding, and Y.Wu, "Automatic text location in natural scene images," ICDAR, Sept. 2001.
19. E. Kim, S. Lee, and J. Kim, "Scene text extraction using focus of mobile camera," ICDAR, Sept. 2009.
20. L. Neumann and J. Matas, "A method for text localization and recognition in real-world images," ACCV, Nov. 2010.
21. F. Shafait, D. Keysers, and T. Breuel, "Efficient implementation of local adaptive thresholding techniques using integral images," Document Recognition and Retrieval Conference, Jan. 2008.
22. J. He, Q. Do, A. Downton, and J. Kim, "A comparison of binarization methods for historical archive documents," ICDAR, Aug. 2005.
23. M. Grundland and N.A. Dodgson, "Decolorize: fast, contrast, enhancing, color to grayscale conversion," Pattern Recognit., vol.40, no.11, pp.2891-2896, Nov. 2007.
24. C. Yi and Y. Tian, "Text string detection from natural scenes by structure-based partition and grouping," IEEE Trans. Image Process., vol.20, no.9, pp.2594-2605, Sept. 2011.