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A Low Complexity Sign Detection and Text Localization Method for Mobile Applications

Bouman, Katherine L. and Abdollahian, Golnaz and Boutin, Mireille and Delp, Edward J. (2011) A Low Complexity Sign Detection and Text Localization Method for Mobile Applications. IEEE Transactions on Multimedia, 13 (5). pp. 922-934. ISSN 1520-9210.

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We propose a low complexity method for sign detection and text localization in natural images. This method is designed for mobile applications (e.g., unmanned or handheld devices) in which computational and energy resources are limited. No prior assumption is made regarding the text size, font, language, or character set. However, the text is assumed to be located on a homogeneous background using a contrasting color. We have deployed our method on a Nokia N800 cellular phone as part of a system for automatic detection and translation of outdoor signs. This handheld device is equipped with a 0.3-megapixel camera capable of acquiring images of outdoor signs that typically contain enough details for the sign to be readable by a human viewer. Our experiments show that the text of these images can be accurately localized within the device in a fraction of a second.

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Bouman, Katherine L.0000-0003-0077-4367
Additional Information:© 2011 IEEE. Manuscript received March 31, 2010; revised October 19, 2010 and February 15, 2011; accepted April 14, 2011. Date of publication May 12, 2011; date of current version September 16, 2011. This work was supported by Next Wave Systems, LLC. Part of this work was presented at ICASSP 2010. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Z. Jane Wang.
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Next Wave SystemsUNSPECIFIED
Subject Keywords:Mobile devices, sign detection, text detection, text localization, text segmentation
Issue or Number:5
Record Number:CaltechAUTHORS:20190404-161219653
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Official Citation:K. L. Bouman, G. Abdollahian, M. Boutin and E. J. Delp, "A Low Complexity Sign Detection and Text Localization Method for Mobile Applications," in IEEE Transactions on Multimedia, vol. 13, no. 5, pp. 922-934, Oct. 2011. doi: 10.1109/TMM.2011.2154317
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94486
Deposited By: George Porter
Deposited On:04 Apr 2019 23:23
Last Modified:03 Oct 2019 21:04

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