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Proceedings Paper

High-performance automatic cropping and deskew of multiple objects on scanned images
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Paper Abstract

The paper is devoted to a novel high-performance algorithm for automatic segmentation and skew correction of several objects on a scanned image. The complex multi-stage technique includes preprocessing, initial segmentation, classification of connected regions, merging of fragmented regions by heuristic procedure, bounding boxes detection and deskew of rectangular objects. Our method is highly effective owing to unification most of operations in one pass. Algorithm provides users with additional functionality and comfort. The method is evaluated by suggested quantitative quality criteria.

Paper Details

Date Published: 3 February 2014
PDF: 10 pages
Proc. SPIE 9016, Image Quality and System Performance XI, 90160B (3 February 2014); doi: 10.1117/12.2037257
Show Author Affiliations
Ilya V. Kurilin, SAMSUNG R&D Institute (Russian Federation)
Ilia V. Safonov, SAMSUNG R&D Institute (Russian Federation)
Michael N. Rychagov, SAMSUNG R&D Institute (Russian Federation)
Hokeun Lee, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)
Sang Ho Kim, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9016:
Image Quality and System Performance XI
Sophie Triantaphillidou; Mohamed-Chaker Larabi, Editor(s)

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