NDLI: A Novel Text Detection System Based on Character and Link Energies

Content Provider	IEEE Xplore Digital Library
Author	Jing Zhang Kasturi, R.
Copyright Year	1992
Abstract	We propose a novel method by using three new character features to detect text objects comprising two or more isolated characters in images and videos. A new text model is constructed to describe text objects. Each character is a part in the model and every two neighboring characters are connected by a link. Two characters and the link connecting them are defined as a text unit. For every candidate part, we compute character energy based on our observation that each character stroke forms two edges with high similarities in length, curvature, and orientation. For every candidate link, we compute link energy based on the similarities in color, size, stroke width, and spacing between characters that are aligned along a particular direction. For every candidate text unit, we combine character and link energies to compute text unit energy which measures the likelihood that the candidate is a text object. We evaluated the performance of the proposed method on ICDAR 2003/2005 data set, Microsoft Street view data set, and video analysis and content exploitation video data set. The experimental results demonstrate that our method can capture the inherent properties of characters and discriminate text from other objects effectively.
Sponsorship	IEEE Signal Processing Society
Starting Page	4187
Ending Page	4198
Page Count	12
File Size	3914895
File Format	PDF
ISSN	10577149
Volume Number	23
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Noise Videos Computational modeling Image color analysis Feature extraction Vectors content based information retrieval Text extraction video indexing image tags
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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