High-performance automatic cropping and deskew of multiple objects on scanned images
Ilya V. Kurilin, Ilia V. Safonov, Michael N. Rychagov, Ho‐Keun Lee, Sangho Kim · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.