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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15941
Title: Signature segmentation from machine printed documents using conditional random field
Authors: Mandal R.
Pratim Roy, Partha
Pal U.
Published in: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Abstract: Automatic separation of signatures from a document page involves difficult challenges due to the free-flow nature of handwriting, overlapping/touching of signature parts with printed text, noise, etc. In this paper, we have proposed a novel approach for the segmentation of signatures from machine printed signed documents. The algorithm first locates the signature block in the document using word level feature extraction. Next, the signature strokes that touch or overlap with the printed texts are separated. A stroke level classification is then performed using skeleton analysis to separate the overlapping strokes of printed text from the signature. Gradient based features and Support Vector Machine (SVM) are used in our scheme. Finally, a Conditional Random Field (CRF) model energy minimization concept based on approximated labeling by graph cut is applied to label the strokes as "signature" or "printed text" for accurate segmentation of signatures. Signature segmentation experiment is performed in "tobacco" dataset and we have obtained encouraging results. © 2011 IEEE.
Citation: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, (2011), 1170- 1174. Beijing
URI: https://doi.org/10.1109/ICDAR.2011.236
http://repository.iitr.ac.in/handle/123456789/15941
Issue Date: 2011
Keywords: CRF
Printed/handwritten text separation
Signature segmentation
Signature verification
ISBN: 9.78077E+12
ISSN: 15205363
Author Scopus IDs: 54410932900
56880478500
57200742116
Author Affiliations: Mandal, R., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-108, India
Roy, P.P., Laboratoire d'Informatique, Université François Rabelais, Tours, France
Pal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-108, India
Corresponding Author: Mandal, R.; Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-108, India; email: ranjumandal@gmail.com
Appears in Collections:Conference Publications [CS]

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