Integrity tests are proposed for image processing algorithms that should yield essentially the same output under 90 degree rotations, edge-padding and monotonic gray-scale transformations of scanned documents. The tests are demonstrated on built-in functions of the Matlab Image Processing Toolbox. Only the routine that reports the area of the convex hull of foreground components fails the rotation test. Ensuring error-free preprocessing operations like size and skew normalization that are based on resampling an image requires more radical treatment. Even if faultlessly implemented, resampling is generally irreversible and may introduce artifacts. Fortunately, advances in storage and processor technology have all but eliminated any advantage of preprocessing or compressing document images by resampling them. Using floating point coordinate transformations instead of resampling images yields accurate run-length, moment, slope, and other geometric features.

Date Published: 4 February 2013
PDF: 7 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580U (4 February 2013); doi: 10.1117/12.2006115

Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)