NDLI: Image Binarization for End-to-End Text Understanding in Natural Images

Content Provider	IEEE Xplore Digital Library
Author	Milyaev, S. Barinova, O. Novikova, T. Kohli, P. Lempitsky, V.
Copyright Year	2013
Description	Author affiliation: Skolkovo Inst. of Sci. & Technol., Moscow, Russia (Lempitsky, V.) \|\| Lomonosov Moscow State Univ., Moscow, Russia (Milyaev, S.; Barinova, O.; Novikova, T.) \|\| Microsoft Res., Cambridge, UK (Kohli, P.)
Abstract	While modern off-the-shelf OCR engines show particularly high accuracy on scanned text, text detection and recognition in natural images still remains a challenging problem. Here, we demonstrate that OCR engines can still perform well on this harder task as long as appropriate image binarization is applied to input photographs. For such binarization, we systematically evaluate the performance of 12 binarization methods as well as of a new binarization algorithm that we propose here. Our evaluation includes different metrics and uses established natural image text recognition benchmarks (ICDAR 2003 and ICDAR 2011). Our main finding is thus the fact that image binarization methods combined with additional filtering of generated connected components and off-the-shelf OCR engines can achieve state-of-the-art performance for end-to-end text understanding in natural images.
Starting Page	128
Ending Page	132
File Size	507913
Page Count	5
File Format	PDF
ISBN	9780769549996
ISSN	15205363
DOI	10.1109/ICDAR.2013.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical character recognition software Accuracy Text recognition Engines Image segmentation Pipelines Image recognition text localization natural scene binarization
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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