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Proceedings Paper

Fast document area detection for scanned images
Author(s): Andrzej Kordecki
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Paper Abstract

Digitization of many documents in public institutions is performed with the use of optical scanner with fixed scanned area size. Therefore, scanned document does not always fill all the image area and may contain additional marginal noise. A major difficulty is the appearance of borders area, which can have varying pixel intensity with additional distortions. In this paper, a novel algorithm for fast detection of the document area in scanned images is proposed. It consists of three main stages: preprocessing, edge density projections and black run analysis. The experimental results on several scanned images with different size of document have demonstrate the 86.1% accuracy document content with fast processing speed.

Paper Details

Date Published: 15 March 2019
PDF: 6 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104120 (15 March 2019); doi: 10.1117/12.2522926
Show Author Affiliations
Andrzej Kordecki, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)

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