NDLI: Data-driven recognition of self-dual binary symbols on curved and reflective surfaces

Content Provider	IEEE Xplore Digital Library
Author	Herwig, J. Pauli, J.
Copyright Year	2011
Description	Author affiliation: Intelligent Systems Group, University of Duisburg-Essen, 47057, Germany (Herwig, J.; Pauli, J.)
Abstract	A robust and effective two-dimensional symbol code is developed that is decodable in a bottom-up fashion imposing minimal constraints from a priori models. For binary encoding of arbitrary data two equally sized, lattice-like arranged, quadratic symbols are proposed which only differ in their complementary brightness distribution. For symbol code recognition the orientation parameter of the symbols is estimated from their own higher level texture. Then, normalized matching with a single correlation filter concurrently detects both symbol types, whereby dependently the response is either strongly positive or negative. The filter output is the correlation score whose local maxima are adaptively extracted by morphological dilation. Finally, a fuzzy region-merging approach based on four-neighborhoods restores the encoded bit matrix.
Starting Page	355
Ending Page	360
File Size	2337248
Page Count	6
File Format	PDF
ISBN	9781457708411
ISSN	18455921
e-ISBN	9789531841597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-04
Publisher Place	Croatia
Access Restriction	Subscribed
Subject Keyword	Correlation Valves Image segmentation Image restoration Robustness Image edge detection
Content Type	Text
Resource Type	Article

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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
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Data-driven recognition of self-dual binary symbols on curved and reflective surfaces