Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2007.4378711
Title: Automatic detection of document script and orientation
Authors: Lu, S. 
Chew, L.T. 
Issue Date: 2007
Source: Lu, S.,Chew, L.T. (2007). Automatic detection of document script and orientation. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 1 : 237-241. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDAR.2007.4378711
Abstract: This paper presents an identification technique that automatically detects the underlying script and orientation of scanned document images. In the proposed technique, document script and orientation are identified by using the stroke density and distribution, which convert each document image into a document vector. For each script at each orientation, a number of reference document vectors are first constructed. Script and orientation of the query document are then determined according to the similarity between the query document vector and multiple preconstructed reference document vectors by using the Knearest neighbor algorithm. Experiments show that the proposed technique is tolerant to the document skew and able to detect orientations of documents of different scripts. © 2007 IEEE.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
URI: http://scholarbank.nus.edu.sg/handle/10635/41877
ISBN: 0769528228
ISSN: 15205363
DOI: 10.1109/ICDAR.2007.4378711
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