NDLI: On the use of Moravec operator for text detection in document images and video frames

Content Provider	IEEE Xplore Digital Library
Author	Kumari, M.S. Shekar, B.H.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Engineering, P A College of Engineering, Mangalore, Karnataka, India (Kumari, M.S.) \|\| Department of Computer Science, Mangalore University, Mangalore, Karnataka, India (Shekar, B.H.)
Abstract	In this paper, we have proposed an accurate and an efficient text detection model for document images and video frames. The proposed model is based on the Moravec operator to localize text in a document image and horizontal and vertical mask convolution is performed to identify the actual text blocks. In order to exhibit the performance of the proposed model, we have conducted experimentation on the standard ICDAR-2003 dataset and also on the video frames collected from internet. The text blocks of video frames possess properties such as varying fonts, colour, size, languages etc. The superiority of the proposed text detection model is demonstrated through experimental comparison and objective comparison with the recently proposed text detection algorithms.
Starting Page	910
Ending Page	914
File Size	518062
Page Count	5
File Format	PDF
ISBN	9781457705885
e-ISBN	9781457705908
DOI	10.1109/ICRTIT.2011.5972394
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Image color analysis Convolution Image edge detection Text detection Moravec operator Document image Robustness Pattern recognition Pixel
Content Type	Text
Resource Type	Article

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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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