Universiti Teknologi Malaysia Institutional Repository

An automated approach to remove line from text bypassing restoration stage

Mohamad, Dzulkifli and Khan, Amjad Rehman and Kurniawan, Fajri (2009) An automated approach to remove line from text bypassing restoration stage. In: 2009 2nd International Conference on Computer, Control and Communication, IC4 2009. ticle number 4909214 . Institute of Electrical and Electronics Engineers, New York, pp. 1-4. ISBN 978-142443314-8

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Official URL: http://dx.doi.org/10.1109/IC4.2009.4909214

Abstract

In composite document image, handwritten and printed text is often found to be overlapped with printed lines. The problem becomes critical for obscure and broken lines at multiple positions. Consequently, line removal is unavoidable pre-processing stage in the development of robust object recognizers. Moreover, the restoration of the handwritten area after removal of lines still persists to be a problem of interest. This paper presents a new approach to detect and remove unwanted printed line inherited in the text image at any position without characters distortion to avoid restoration stage. The proposed technique is based on connected component analysis. Experiment is conducted using single line images that scanned and extracted manually from several documents and forms. It is demonstrated that our approach is equally suitable to deal with line removal in printed and handwritten text written in any language circumvent restoration stage.

Item Type:Book Section
Additional Information:2009 2nd International Conference on Computer, Control and Communication, IC4 2009; Karachi; 17 February 2009 through 18 February 2009
Uncontrolled Keywords:underline detection, character restoration, connected components analysis, line removal
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:12965
Deposited By: Ms Zalinda Shuratman
Deposited On:07 Jul 2011 09:24
Last Modified:04 Aug 2011 02:27

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