Automatic script identification in the wild

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

Volumn 2015-November, Issue , 2015, Pages 531-535

  Shi, Baoguang ^a   Yao, Cong ^a   Zhang, Chengquan ^a   Guo, Xiaowei ^b   Huang, Feiyue ^b   Bai, Xiang ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Tecent ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION);

DEEP LEARNING; LARGE-SCALE DATASET; NATURAL IMAGES; NATURAL SCENES; REAL-WORLD SCENARIO; SCRIPT IDENTIFICATION; TRANSNATIONAL COMMUNICATION;

IMAGE CLASSIFICATION;

EID: 84962517309     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2015.7333818     Document Type: Conference Paper

References (31)

1. K. Jung, K. I. Kim, and A. K. Jain, "Text information extraction in images and video: a survey, " Pattern Recognition, vol. 37, no. 5, pp. 977-997, 2004
2. T. Q. P han, P. Shivakumara, Z. Ding, S. Lu, and C. L. Tan, "Video script identification based on text lines, " in In Proc. of ICDAR, 2011
3. L. Neumann and J. Matas, "A method for text localization and recognition in real-world images, " in in Proc. of ACCV, 2010
4. c. Yao, X. Bai, W. Liu, Y. Ma, and Z. Tu, "Detecting texts of arbitrary orientations in natural images, " in in Proc. of CVPR, 2012
5. C. Yao, X. Bai, and W. Liu, "A unified framework for multi oriented text detection and recognition, " IEEE Transactions on Image Processing, vol. 23, no. 11, pp. 4737-4749, 2014
6. C. Yao, X. Bai, B. Shi, and W. Liu, "Strokelets: A learned multi-scale representation for scene text recognition, " in in Proc. of CVPR, 2014
7. Y. Zhu, C. Yao, and X. Bai, "Scene text detection and recognition: Recent advances and future trends, " Frontiers of Computer Science, 2015
8. Z. Zhang, W. Shen, C. Yao, and X. Bai, "Symmetry-based text line detection in natural scenes, " in in Proc. of CVPR, 2015
9. T. N. Tan, "Rotation invariant texture features and their use in automatic script identification, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 7, pp. 751-756, 1998
10. J. Hochberg, P. Kelly, T. Thomas, and L. Kerns, "Automatic script identification from document images using cluster-based templates, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 2, pp. 176-181, 1997
11. D. Ghosh, T. Dube, and A. P. Shivaprasad, "Script recognition-A review, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 12, pp. 2 142-2 161, 2010
12. A. Busch, w. W. Boles, and S. Sridharan, "Texture for script identification, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 11, pp. 1720-1732, 2005
13. D. Zhao, P. Shivakumara, S. Lu, and C. L. Tan, "New spatial-gradientfeatures for video script identification, " in In Proc. of Workshop on DAS, 2012
14. G. D. Joshi, S. Garg, and J. Sivaswamy, "A generalised framework for script identification, " llDAR, vol. 10, no. 2, pp. 55-68, 2007
15. U. Pal, S. Sinha, and B. B. Chaudhuri, "Multi-script line identification from indian document;' in In Proc. of ICDAR, 2003
16. S. Sinha, U. Pal, and B. B. Chaudhuri, "Word-wise script identification from indian documents, " in In Proc. of Workshop on DAS, 2004
17. R. Rani, R. Dhir, and G. S. Lehal, "Script identification of pre-segmented multi-font characters and digits, " in In Proc. of ICDAR, 2013
18. L. G. i Bigorda and D. Karatzas, "Multi-script text extraction from natural scenes, " in In Proc. of ICDAR, 2013
19. J. Wang, J. Yang, K. Yu, F. Lv, T. S. Huang, and Y. Gong, "Localityconstrained linear coding for image classification, " in In Proc. of CVPR, 2010
20. A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks, " in In Proc. of NIPS, 2012
21. A. Shahab, F. Shafait, and A. Dengel, "ICDAR 2011 robust reading competition challenge 2: Reading text in scene images, " in In Proc. of ICDAR, 201l
22. K. Wang and S. Belongie, "Word spotting in the wild, " in In Proc. of ECCV,2010
23. A. Mishra, K. Alahari, and C. Y. Jawahar, "Scene text recognition using higher order language priors, " in In Proc. of BMVC, 2012
24. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition, " Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, 1998
25. Y. LeCun, L. Bottou, G. B. Orr, and K. Muller, "Efficient backprop, " in Neural Networks: Tricks of the Trade-Second Edition, 2012, pp. 9-48
26. F. Li and P. Perona, "A bayesian hierarchical model for learning natural scene categories, " in in Proc. of CVPR, 2005
27. X. Wang, B. Feng, X. Bai, W. Liu, and L. J. Latecki, "Bag of contour fragments for robust shape classification, " Pattern Recognition, vol. 47, no. 6, pp. 2 116-2125, 2014
28. X. Bai, S. Bai, Z. Zhu, and L. Latecki, "3d shape matching via two layer coding, " IEEE Trans. Pattern Anal. Mach. Intell., 2015
29. S. Bai, X. Wang, C. Yao, and X. Bai, "Multiple stage residual model for accurate image classification, " in ACCV, 2014
30. J. Yang, K. Yu, Y. Gong, and T. S. Huang, "Linear spatial pyramid matching using sparse coding for image classification, " in In Proc. of CVPR,2009
31. C. Cortes and Y. Vapnik, "Support-vector networks, " Machine Learning, vol. 20, no. 3, pp. 273-297, 1995