JOURNAL ARTICLE

Texture for script identification

Andrew Busch, Wageeh W Boles, Sridha Sridharan
IEEE Transactions on Pattern Analysis and Machine Intelligence 2005, 27 (11): 1720-32
16285372
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.

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