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  • Title: Texture for script identification.
    Author: Busch A, Boles WW, Sridharan S.
    Journal: IEEE Trans Pattern Anal Mach Intell; 2005 Nov; 27(11):1720-32. PubMed ID: 16285372.
    Abstract:
    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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