Fast recognition of natural feature identifiers by a mobile phone

Katona Melinda and Nyúl László G.: Fast recognition of natural feature identifiers by a mobile phone. In: Acta cybernetica, (22) 1. pp. 101-116. (2015)

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One of the most important and widely used technique for automatic identification is the use of visual codes. Identifiers encoded in various symbols and patterns make electronic reading possible, that greatly helps and speeds up processing, e.g., at cashier lines, warehouse transactions, high speed processing places, production lines. The common codes designed using geometric patterns usually identify types or entities. However, patterns can be produced that, by their nature, are unique and thus can be used to validate originality or authenticity. In this paper, we focus on the automatic localization and recognition of a kind of natural feature identifier (NFI). We present an image processing algorithm that successfully locates NFI code region in an image taken by a mobile camera and extracts features of the NFI glitters that can be the basis for recognition. We also show preliminary experimental results.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2015
Volume: 22
Number: 1
ISSN: 0324-721X
Page Range: pp. 101-116
Language: English
Place of Publication: Szeged
Related URLs:
DOI: 10.14232/actacyb.22.1.2015.7
Uncontrolled Keywords: Képfeldolgozás, Számítástechnika
Additional Information: Bibliogr.: p. 115-116. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2016. Oct. 17. 10:36
Last Modified: 2022. Jun. 20. 10:37

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