Texture for script identification.

Andrew Busch; Wageeh W Boles; Sridha Sridharan

doi:10.1109/tpami.2005.227

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Texture for script identification.

Andrew Busch·Wageeh W Boles·Sridha Sridharan

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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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Algorithms Artificial Intelligence Documentation Electronic Data Processing Handwriting Image Enhancement Image Interpretation, Computer-Assisted Information Storage and Retrieval Models, Statistical Numerical Analysis, Computer-Assisted Pattern Recognition, Automated Reading Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Subtraction Technique Evaluation Study Journal Article

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Andrew Busch, Wageeh W Boles, Sridha Sridharan. 2005. Texture for script identification.. https://doi.org/10.1109/tpami.2005.227

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