Nourbakhsh, Farshad and Pati, Peeta Basa and Ramakrishnan, AG (2006) Document page layout analysis using Harris corner points. In: 4th International Conference on Intelligent Sensing and Information Processing,, Dec 15-18, 2006, Bangalore, India, pp. 149-152.
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Extraction of text areas from the document images with complex content and layout is one of the challenging tasks. Few texture based techniques have already been proposed for extraction of such text blocks. Most of such techniques are greedy for computation time and hence are far from being realizable for real time implementation. In this work, we propose a modification to two of the existing texture based techniques to reduce the computation. This is accomplished with Harris corner detectors. The efficiency of these two textures based algorithms, one based on Gabor filters and other on log-polar wavelet signature, are compared. A combination of Gabor feature based texture classification performed on a smaller set of Harris corner detected points is observed to deliver the accuracy and efficiency.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Gabor filters;log-polar wavelet signature;Harris corner detector;text extraction;page layout analysis;Manhattan layout.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||02 Sep 2010 05:46|
|Last Modified:||19 Sep 2010 06:12|
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