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Wine Label Character Recognition in Mobile Phone Images using a Lexicon-Driven Post-Processing  

Lim, Jun-Sik (전남대학교 전자컴퓨터공학과)
Kim, Soo-Hyung (전남대학교 전자컴퓨터공학과)
Lee, Chil-Woo (전남대학교 전자컴퓨터공학과)
Lee, Guee-Sang (전남대학교 전자컴퓨터공학과)
Yang, Hyung-Jung (전남대학교 전자컴퓨터공학과)
Lee, Myung-Eun (전남대학교 전자컴퓨터공학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.5, 2010 , pp. 546-550 More about this Journal
Abstract
In this paper, we propose a method for the postprocessing of cursive script recognition in Wine Label Images. The proposed method mainly consists of three steps: combination matrix generation, character combination filtering, string matching. Firstly, the combination matrix generation step detects all possible combinations from a recognition result for each of the pieces. Secondly, the unnecessary information in the combination matrix is removed by comparing with bigram of word in the lexicon. Finally, string matching step decides the identity of result as a best matched word in the lexicon based on the levenshtein distance. An experimental result shows that the recognition accuracy is 85.8%.
Keywords
Cursive Script Recognition; Lexicon-Driven Post-Processing; Over-Segmentation;
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1 M. Shridhar, A. Badreldin, "A high-accuracy syntactic recognition algorithm for handwritten numerals," IEEE Transactions on Systems, Man, and Cybernetics, vol.SMC-15, no.1, pp.152-158. 1985.   DOI
2 T. Pavlidis, F. Ali, "Computer recognition of handwritten numerals by polygonal approximations," IEEE Transactions on Systems, Man, and Cybernetics, vol.SMC-5, pp.610-614, 1975.   DOI
3 K. Abend, "Compound decision procedure for unknown distribution and for dependent state of nature," Pattern Recognition, pp.207-249, 1968.
4 P. Hall and G. Dowling, "Approximate string matching," Computing Surveys, pp.381-402, 1980.
5 C. Li, X. Ding, and Y. Wu, "Automatic text location in natural scene images," Proc. International Conference on Document Analysis and Recognition, pp.1069-1073, 2001.
6 I. Haritaoglu, "Scene text extraction and translation for handheld devices," Proc. the IEEE Conference on Computer Vision and Pattern Recognition, vol.2, pp.408-413, 2001.
7 C. Thillou, B. Gosselin, "Natural scene text understanding," Vision Systems, Segmentation and Pattern Recognition, Ch.16, pp.307-333, 2007.
8 J. Zhang, A. Hanneman, A. Hanneman, J. Yang, A. Waibel, "A robust approach for recognition of text embedded in natural scenes," International Conference on Pattern Recognition, vol.3, pp.204-207, 2002.
9 I. S. Oh, C. Y.Suen, C. Y.Suen, "istance Features for Optical Character Recognition," Journal of KIISE : Software and Applications, vol.25, no.7, pp.1028-1043, 1998. (in Korean)