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Issue No.11 - November (2005 vol.27)
pp: 1720-1732
The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.
Index Terms- Script identification, wavelets and fractals, texture, document analysis, clustering, classification and association rules.
Andrew Busch, Wageeh W. Boles, Sridha Sridharan, "Texture for Script Identification", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.27, no. 11, pp. 1720-1732, November 2005, doi:10.1109/TPAMI.2005.227
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