title: Texture for script identification.
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.
authors.affiliation: School of Microelectronic Engineering, Griffith University Nathan Campus, QLD, Australia. a.busch@griffith.edu.au
authors.forename: Andrew
authors.initials: A
authors.lastname: Busch
authors.forename: Wageeh W
authors.initials: WW
authors.lastname: Boles
authors.forename: Sridha
authors.initials: S
authors.lastname: Sridharan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D004282:Documentation / Q000379:methods; D001330:Electronic Data Processing / Q000379:methods*; D006236:Handwriting; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D015233:Models, Statistical; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D011932:Reading; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique