Fast recognition of natural feature identifiers by a mobile phone

Melinda Katona, László G. Nyúl

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)101-116
Number of pages16
JournalActa Cybernetica
Volume22
Issue number1
DOIs
Publication statusPublished - Jan 1 2015

Keywords

  • Image processing
  • Mathematical morphology
  • Mobile phone
  • Natural feature identifier
  • Pattern recognition
  • QR code detection

ASJC Scopus subject areas

  • Software
  • Computer Science (miscellaneous)
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Information Systems and Management
  • Electrical and Electronic Engineering

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