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3 February 2014 High-performance automatic cropping and deskew of multiple objects on scanned images
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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.
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Ilya V. Kurilin, Ilia V. Safonov, Michael N. Rychagov, Hokeun Lee, and Sang Ho Kim "High-performance automatic cropping and deskew of multiple objects on scanned images", Proc. SPIE 9016, Image Quality and System Performance XI, 90160B (3 February 2014); doi: 10.1117/12.2037257;

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