Script-agnostic Reflow of Text in Document Images

Panjwani, S and Uppal, A and Cutrell, E (2011) Script-agnostic Reflow of Text in Document Images. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services.

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Abstract

Reading text from document images can be difficult on mobile devices due to the limited screen width available on them. While there exist solutions for reflowing Latin-script texts on such devices, these solutions do not work well for images of other scripts or combinations of scripts, since they rely on script-specific characteristics or OCR. We present a technique that reflows text in document images in a manner that is agnostic to the script used to compose them. Our technique achieved over 95% segmentation accuracy for a corpus of 139 images containing text in 4 genetically-distant languages-English, Hindi, Kannada and Arabic. A preliminary user study with a prototype implementation of the technique provided evidence of some of its usability benefits.

Affiliation:	Indian School of Business
ISB Creators:	ISB Creators ORCiD Uppal, A UNSPECIFIED
Item Type:	Conference or Workshop Item (Paper)
Additional Information:	The research article was published by the author with the affiliation of IIT Delhi.
Uncontrolled Keywords:	document images, reflow, script-agnostic, segmentation
Subjects:	Applied Statistics and Computing
Depositing User:	Mohan Dass
Date Deposited:	08 Apr 2019 10:07
Last Modified:	08 Apr 2019 10:07
URI:	http://eprints.exchange.isb.edu/id/eprint/767
Publisher URL:	http://doi.acm.org/10.1145/2037373.2037419
Related URLs:	Link to full-text (other repositories) Google Scholar

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