Simultaneous Document Margin Removal and Skew Correction Based on Corner Detection in Projection Profiles

Authors:
M. Mehdi Haji;Tien D. Bui;Ching Y. Suen
Affiliations:
Centre for Pattern Recognition and Machine Intelligence, Concordia University, Montreal, Canada H3G 1M8;Centre for Pattern Recognition and Machine Intelligence, Concordia University, Montreal, Canada H3G 1M8;Centre for Pattern Recognition and Machine Intelligence, Concordia University, Montreal, Canada H3G 1M8
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

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Abstract

Document images obtained from scanners or photocopiers usually have a black margin which interferes with subsequent stages of page segmentation algorithms. Thus, the margins must be removed at the initial stage of a document processing application. This paper presents an algorithm which we have developed for document margin removal based upon the detection of document corners from projection profiles. The algorithm does not make any restrictive assumptions regarding the input document image to be processed. It neither needs all four margins to be present nor needs the corners to be right angles. In the case of the tilted documents, it is able to detect and correct the skew. In our experiments, the algorithm was successfully applied to all document images in our databases of French and Arabic document images which contain more than two hundred images with different types of layouts, noise, and intensity levels.