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Proceedings Paper

Using connected component decomposition to detect straight line segments in documents
Author(s): Xiaofan Feng; Abdou Youssef
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Paper Abstract

Straight line segment detection in digital documents has been studied extensively for the past few decades. One of the challenges is to detect line segments without priori information about document images and render good results without much parameter calibration. In this paper, we introduce a novel algorithm that is simple but effective in detecting straight line segments in scanned documents. Our Connected Component Decomposition (CCD) approach first decomposes the connected components based on the gradient direction of the edge contours, and then uses Chebyshev's inequality to statistically distinguish lines from characters, followed by a simple post processing step to examine straightness of remain segments. This CCD approach is simple to follow and fast in its implementation, and its high accuracy and usability are demonstrated empirically on a practical data set with large varieties.

Paper Details

Date Published: 24 January 2012
PDF: 8 pages
Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970Z (24 January 2012); doi: 10.1117/12.912049
Show Author Affiliations
Xiaofan Feng, The George Washington Univ. (United States)
Abdou Youssef, The George Washington Univ. (United States)


Published in SPIE Proceedings Vol. 8297:
Document Recognition and Retrieval XIX
Christian Viard-Gaudin; Richard Zanibbi, Editor(s)

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