NDLI: Separation of Graphics (Superimposed) and Scene Text in Video Frames

Content Provider	IEEE Xplore Digital Library
Author	Shivakumara, P. Kumar, N.V. Guru, D.S. Tan, C.L.
Copyright Year	2014
Description	Author affiliation: Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore (Tan, C.L.) \|\| Univ. of Malaya (UM), Kuala Lumpur, Malaysia (Shivakumara, P.) \|\| Dept. of Studies in Comput. Sci., Univ. of Mysore, Mysore, India (Kumar, N.V.; Guru, D.S.)
Abstract	The presence of both graphics and scene text in video frames makes text detection and recognition problem more challenging because the nature of the two texts differs significantly. This paper aims to propose a novel method for separation of graphics and scene text to achieve good recognition rate based on the fact that Canny and Sobel edge pattern share common property for text. We propose to use Ring Radius Transform to identify the radius that represents the medial axis in the edge image. We study the intra relationship between bins of the histograms over respective radius values, resulting in intra line graphs. In this way, the method finds intra line graphs for both Canny and Sobel edge images of the input text lines. To identify the unique distribution for separation of graphics and scene texts, we explore the inter relationship between intra line graphs of Canny and Sobel edge image with respective medial axes values. This results in Gaussian distribution for graphics and non-Gaussian for scene text. Experimental results on horizontal, non-horizontal, different scripts etc. show that the proposed method is effective for classification and the results of baseline recognition methods show that recognition rate is significantly improved after classification.
Sponsorship	Google
Starting Page	344
Ending Page	348
File Size	561747
Page Count	5
File Format	PDF
ISBN	9781479932443
DOI	10.1109/DAS.2014.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-07
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics medial axis Histograms Accuracy Text recognition Image edge detection Inter relationship Transforms Gaussian distribution Intra relationship Ring radius transform Graphics and scene text classification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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