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Design and implementation of a low-cost embedded iris recognition system on a dual-core processor platform

  • Yulin Si*
  • , Jiangyuan Mei
  • , Hamid Reza Karimi
  • , Chuan Wang
  • , Huijun Gao
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • University of Agder

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Design of a low-cost embedded iris recognition system is described in this paper. Firstly, we develop a simple and effective iris image acquisition unit, which is cheap and easy to use. This is achieved by both of hardware design and image evaluation algorithm development. Secondly, the iris recognition algorithm is introduced, including iris segmentation, image normalization, feature extraction, and code matching. The algorithm implementation architecture is based on an embedded dual-core processor platform, Texas Instruments TMS320DM6446 evaluation module (Davinci), which contains an ARM core and a DSP core in one chip. Thirdly, the evaluation experiments are performed on the established iris database, and the experimental results suggest that the system shows good performance both on accuracy and efficiency.

Original languageEnglish
Title of host publicationCESCIT 2012 - 1st IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Proceedings
PublisherIFAC Secretariat
Pages278-282
Number of pages5
Edition4
ISBN (Print)9783902661975
DOIs
StatePublished - 2012
Event1st IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, CESCIT 2012 - Wurzburg, Germany
Duration: 3 Apr 20125 Apr 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number4
Volume45
ISSN (Print)1474-6670

Conference

Conference1st IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, CESCIT 2012
Country/TerritoryGermany
CityWurzburg
Period3/04/125/04/12

Keywords

  • Dual-core processor
  • Efficient algorithm
  • Embedded system
  • Image evaluation
  • Iris recognition
  • Program optimization

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