Fast document area detection for scanned images

Andrzej Kordecki

doi:10.1117/12.2522926

15 March 2019 Fast document area detection for scanned images

Andrzej Kordecki

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 1104120 (2019) https://doi.org/10.1117/12.2522926
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

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.

Citation Download Citation

Andrzej Kordecki "Fast document area detection for scanned images", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104120 (15 March 2019); https://doi.org/10.1117/12.2522926

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