Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1796

 Title: Application of Wavelet Decomposition to Document Line Segmentation Authors: Laskov, Lasko Keywords: Document Image ProcessingDocument SegmentationWavelets Issue Date: 2012 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 6, No 2, (2012), 149p-162p Abstract: In this paper an approach to document line segmentation is presented. The algorithm is based on a wavelet transform of the horizontal projective profile of the document image. The projective profile is examined as a one-dimensional discrete signal which is decomposed using the pyramidal wavelet algorithm up to a precise scale, where local minima and maxima are discovered. These local extrema, projected into the input signal, correspond to the spacing between document lines and to the pivots of the lines. The method has been tested on a broad set of printed and handwritten documents and proven to be stable and efficient. Description: ACM Computing Classification System (1998): I.7, I.7.5. URI: http://hdl.handle.net/10525/1796 ISSN: 1312-6555 Appears in Collections: Volume 6 Number 2

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