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Proceedings Paper

Automatic removal of crossed-out handwritten text and the effect on writer verification and identification
Author(s): Axel Brink; Harro van der Klauw; Lambert Schomaker
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Paper Abstract

A method is presented for automatically identifying and removing crossed-out text in off-line handwriting. It classifies connected components by simply comparing two scalar features with thresholds. The performance is quantified based on manually labeled connected components of 250 pages of a forensic dataset. 47% of connected components consisting of crossed-out text can be removed automatically while 99% of the normal text components are preserved. The influence of automatically removing crossed-out text on writer verification and identification is also quantified. This influence is not significant.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6815, Document Recognition and Retrieval XV, 68150A (28 January 2008); doi: 10.1117/12.766466
Show Author Affiliations
Axel Brink, Univ. of Groningen (Netherlands)
Harro van der Klauw, Univ. of Groningen (Netherlands)
Lambert Schomaker, Univ. of Groningen (Netherlands)


Published in SPIE Proceedings Vol. 6815:
Document Recognition and Retrieval XV
Berrin A. Yanikoglu; Kathrin Berkner, Editor(s)

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