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Foreground Estimation in a Degraded Text document

Publication Type : Journal Article

Thematic Areas : TIFAC-CORE in Cyber Security

Publisher : International Journal of Computer Applications

Source : International Journal of Computer Applications, Volume 44, Number 22, p.31-37 (2012)

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Keywords : Document Binarization., Feature extraction, Image filtering, Wavelet decomposition

Campus : Coimbatore

School : Centre for Cybersecurity Systems and Networks, School of Engineering

Center : Computational Engineering and Networking, TIFAC CORE in Cyber Security

Department : Computer Science, cyber Security

Verified : Yes

Year : 2012

Abstract : In this paper an attempt is made to retrieve the text region alone from a degraded text document. For doing that, four different filters are used for noise removal in the text document. Later document binarization is done using thresholding. Three different thresholding techniques are implemented for foreground-background separation.Then candidate region is selected and features are extracted. The features are then fed to an SVM to classify text and non-text regions. The proposed approach is implemented and tested on various hand written and machine printed degraded text documents

Cite this Research Publication : B. I. Chandra, Dr. Gireesh K. T., and Nagarjunavarma, K., “Foreground Estimation in a Degraded Text document”, International Journal of Computer Applications, vol. 44, pp. 31-37, 2012.

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