Authors:
Aleš Jaklič
and
Blaž Vrabec
Affiliation:
Computer Vision Laboratory, Faculty of Computer and Information Science, University of Ljubljana, Slovenia
Keyword(s):
document scanning, Hough transform, detection, position, orientation
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Human-Computer Interaction
;
Machine Perception: Vision, Speech, Other
Abstract:
Automatic Document scanning is a useful part of an information system at personal identification checkpoints such as airports, border crossings, banks etc. Current applications usually require a great deal of carefulness of the scanner operators – the document has to be positioned horizontally and special care must be taken to detect corrupt scans that can occur. In this work we describe ideas for two independent algorithms for the document rotation correction and automatic detection of corrupt scans. One algorithm relies on the Hough transformation and the other on brightness gradient of the image. The output of each algorithm is a cropped image of the document in horizontal orientation, which can be used as input for further processing (such as OCR). Also the estimate of scan corruption is returned. Also shown are some testing results of the algorithm prototypes written in MATLAB environment.