Text Region Extraction in a Document Image Based on Discrete Wavelet transforms
DOI:
https://doi.org/10.20894/IJMSR.117.002.001.005Keywords:
Document segmentation, DWTAbstract
This paper presents a new approach for extracting text region from the document images employing the discrete wavelet transform. The detection of text region is achieved by the discrete wavelet transforms. Experimental results show that the proposed method gives better text extraction from the document images.
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References
[1]. Mausumi Acharyya and Malay K.Kundu, “Document Image Segmentation UsingWavelet Scale–Space Features”, IEEE transactions on circuits and systems for video technology,Vol.12, No.12, December2002.
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[3]. JiaLi and Robert M.Gray, “Context Based Multiscale Classification of Document Images Using Wavelet Coefficient Distributions”, IEEE transactions on image processing, Vol.9, No.9, September2000.
[4]Drira, F. LeBourgeois, F. Emptoz, H, “A Coupled Mean Shift-Anisotropic Diffusion Approach for Document Image Segmentation and Restoration”, Nineth international conference on document analysis and recognition., Vol. No.2, pages 814-818, September 2007.
[5]Gatos, Pratikakis and Ntirogiannis, “Segmentation Based Recovery of Arbitrarily Warped Document Images ”, IEEE Conference Document Analysis and Recognition, 2007.
[6]Geum-Boon Lee Odoyo, W.O. Jae-Hoon Lee Il-Yong Chung Beom-Joon Cho, “Two Texture Segmentation of Document Image Using Wavelet Packet Analysis ”, The 9th international conference on Advanced communication technology, Vol.No.1, pages 395-398, 2007.
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[8]Liu, Dong, Song and Fan, “An entropy based segmentation algorithm for computer-generated document images”, IEEE Conference Image Processing, 2003.
[9]Lopresti A.D and J. Zhou, "Locating and Recognizing Text in WWW Images," Information Retrieval, vol. 2, pp. 177-206, 2000.
[10]Lopresti.D and J. Zhou, “Document Analysis and the World Wide Web”, Proceedings of the Workshop on Document Analysis Systems, Marven, Pennsylvania, October 1996, pp. 417–424.
[11]Lyu.M.R , J. Song, and M. Cai. A Comprehensive Method for Multilingual Video Text Detection, Localization, and Extraction. Transactions on Circuits and Systems for Video Technology, 15(2):243–255, 2005.
[2]. S.Mandal, S.P.Chowdhury, A.K.Das and Bhabatosh Chanda, “Automated Detection and Segmentation of Table of Contents Page from Document Images”, IEEE Seventh International Conference on Document Analysis and Recognition on 2003.
[3]. JiaLi and Robert M.Gray, “Context Based Multiscale Classification of Document Images Using Wavelet Coefficient Distributions”, IEEE transactions on image processing, Vol.9, No.9, September2000.
[4]Drira, F. LeBourgeois, F. Emptoz, H, “A Coupled Mean Shift-Anisotropic Diffusion Approach for Document Image Segmentation and Restoration”, Nineth international conference on document analysis and recognition., Vol. No.2, pages 814-818, September 2007.
[5]Gatos, Pratikakis and Ntirogiannis, “Segmentation Based Recovery of Arbitrarily Warped Document Images ”, IEEE Conference Document Analysis and Recognition, 2007.
[6]Geum-Boon Lee Odoyo, W.O. Jae-Hoon Lee Il-Yong Chung Beom-Joon Cho, “Two Texture Segmentation of Document Image Using Wavelet Packet Analysis ”, The 9th international conference on Advanced communication technology, Vol.No.1, pages 395-398, 2007.
[7]Lienhart R and A. Wernicke, “Localizing and Segmenting Text in Images and Videos”, Transactions on Circuits and Systems for Video Technology, 12(4):256–268, 2002.
[8]Liu, Dong, Song and Fan, “An entropy based segmentation algorithm for computer-generated document images”, IEEE Conference Image Processing, 2003.
[9]Lopresti A.D and J. Zhou, "Locating and Recognizing Text in WWW Images," Information Retrieval, vol. 2, pp. 177-206, 2000.
[10]Lopresti.D and J. Zhou, “Document Analysis and the World Wide Web”, Proceedings of the Workshop on Document Analysis Systems, Marven, Pennsylvania, October 1996, pp. 417–424.
[11]Lyu.M.R , J. Song, and M. Cai. A Comprehensive Method for Multilingual Video Text Detection, Localization, and Extraction. Transactions on Circuits and Systems for Video Technology, 15(2):243–255, 2005.
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Published
2010-12-18
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