A method for text localization and recognition in real-world images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6494 LNCS, Issue PART 3, 2011, Pages 770-783

  Neumann, Lukas ^a   Matas, Jiri ^a  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FEED-FORWARD; GENERAL METHOD; ILLUMINATION CONDITIONS; MAXIMALLY STABLE EXTREMAL REGIONS; REAL-WORLD; REAL-WORLD IMAGE; RECOGNITION RATES; TEXT DETECTION; TEXT LINES; TEXT LOCALIZATION; TRAINING DATA; VERIFICATION FRAMEWORK;

COMPUTER VISION;

CHARACTER RECOGNITION;

EID: 79952525611     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19318-7_60     Document Type: Conference Paper

References (23)

1. Wu, V., Manmatha, R., Riseman Sr., E.M.: Textfinder: An automatic system to detect and recognize text in images. IEEE Trans. Pattern Anal. Mach. Intell. (1999)
2. Chen, X., Yang, J., Zhang, J., Waibel, A.: Automatic Detection and Recognition of Signs From Natural Scenes. IEEE Trans. on Image Processing 13, 87-99 (2004)
3. Ezaki, N.: Text detection from natural scene images: towards a system for visually impaired persons. In: Int. Conf. on Pattern Recognition, pp. 683-686 (2004)
4. Epshtein, B., Ofek, E., Wexler, Y.: Detecting text in natural scenes with stroke width transform. In: CVPR 2010: Proc. of the 2010 Conference on Computer Vision and Pattern Recognition (2010)
5. Lin, X.: Reliable OCR solution for digital content re-mastering. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series (2001)
6. Chen, X., Yuille, A.L.: Detecting and reading text in natural scenes. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 366-373 (2004)
7. Gao, J., Yang, J.: An adaptive algorithm for text detection from natural scenes. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, p. 84 (2001)
8. Jain, A.K., Yu, B.: Automatic text location in images and video frames. In: International Conference on Pattern Recognition, vol. 2, p. 1497 (1998)
9. Pan, Y.F., Hou, X., Liu, C.L.: A robust system to detect and localize texts in natural scene images. In: IAPR International Workshop on Document Analysis Systems, pp. 35-42 (2008)
10. Kim, E., Lee, S., Kim, J.: Scene text extraction using focus of mobile camera. In: International Conference on Document Analysis and Recognition, pp. 166-170 (2009)
11. Pan, Y.F., Hou, X., Liu, C.L.: Text localization in natural scene images based on conditional random field. In: ICDAR 2009: Proc. of the 2009 10th International Conference on Document Analysis and Recognition, pp. 6-10 (2009)
12. de Campos, T.E., Babu, B.R., Varma, M.: Character recognition in natural images. In: VISAPP, February 05-08 (2009)
13. Yokobayashi, M., Wakahara, T.: Segmentation and recognition of characters in scene images using selective binarization in color space and gat correlation. In: Proc. of the 8th International Conference on Document Analysis and Recognition, pp. 167-171 (2005) (Pubitemid 46442312)
14. Weinman, J.J., Learned-Miller, E., Hanson, A.R.: Scene text recognition using similarity and a lexicon with sparse belief propagation. IEEE Trans. Pattern Anal. Mach. Intell. 31, 1733-1746 (2009)
15. Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing 22, 761-767 (2004)
16. Matas, J(G.), Zimmermann, K.: A new class of learnable detectors for categorisation. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, vol. 3540, pp. 541-550. Springer, Heidelberg (2005) (Pubitemid 41422696)
17. Nist́er, D., Steẃenius, H.: Linear time maximally stable extremal regions. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 183-196. Springer, Heidelberg (2008)
18. Cristianini, N., Shawe-Taylor, J.: An introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)
19. Muller, K.R., Mika, S., Ratsch, G., Tsuda, K., Scholkopf, B.: An introduction to kernel-based learning algorithms. IEEE Trans. on Neural Networks 12, 181-201 (2001) (Pubitemid 32371478)
20. Lucas, S.M., Panaretos, A., Sosa, L., Tang, A., Wong, S., Young, R.: Icdar 2003 robust reading competitions. In: ICDAR 2003: Proc. of the 7th International Conference on Document Analysis and Recognition, p. 682 (2003)
21. Myers, G.K., Bolles, R.C., Luong, Q.T., Herson, J.A., Aradhye, H.: Rectification and recognition of text in 3-d scenes. IJDAR 7, 147-158 (2005) (Pubitemid 41051512)
22. Liu, C.L., Nakashima, K., Sako, H., Fujisawa, H.: Handwritten digit recognition: investigation of normalization and feature extraction techniques. Pattern Recognition 37, 265-279 (2004) (Pubitemid 37425411)
23. Lucas, S.M.: Text locating competition results. In: International Conference on Document Analysis and Recognition, pp. 80-85 (2005)