@inproceedings{panjwani2011script-agnostic,
author = {Panjwani, Saurabh and Uppal, Abhinav and Cutrell, Ed},
title = {Script-agnostic reflow of text in document images},
series = {MobileHCI '11},
booktitle = {MobileHCI 2011: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services},
year = {2011},
month = {January},
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.},
publisher = {ACM},
url = {http://approjects.co.za/?big=en-us/research/publication/script-agnostic-reflow-of-text-in-document-images/},
pages = {299-302},
isbn = {978-1-4503-0541-9},
edition = {MobileHCI 2011: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services},
}