TY - JOUR
AU - Kordecki, Andrzej
AB - 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.
TI - Fast document area detection for scanned images
JF - Proceedings of SPIE
DO - 10.1117/12.2522926
DA - 2019-03-15
UR - https://www.deepdyve.com/lp/spie/fast-document-area-detection-for-scanned-images-AVymImADUj
SP - 1104120
EP - 1104120-6
VL - 11041
IS - 
DP - DeepDyve
ER -