Iris biometric system design using multispectral imaging

Benedictus Yohanes Bagus Widhianto, Aulia M.T. Nasution

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

Abstract

An identity recognition system is a vital component that cannot be separated from life, iris biometric is one of the biometric that has the best accuracy reaching 99%. Usually, iris biometric systems use infrared spectrum lighting to reduce discomfort caused by radiation when the eye is given direct light, while the eumelamin that is forming the iris has the most flourescent radiation when given a spectrum of visible light. This research will be conducted by detecting iris wavelengths of 850 nm, 560 nm, and 590 nm, where the detection algorithm will be using Daugman algorithm by using a Gabor wavelet extraction feature, and matching feature using a Hamming distance. Results generated will be analyzed to identify how much differences there are, and to improve the accuracy of the multispectral biometric system and as a detector of the authenticity of the iris. The results obtained from the analysis of wavelengths 850 nm, 560 nm, and 590 nm respectively has an accuracy of 99,35, 97,5, 64,5 with a matching score of 0,26, 0,23, 0,37.

Original languageEnglish
Title of host publicationSecond International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2016
EditorsAgus Muhamad Hatta, Aulia M.T. Nasution
PublisherSPIE
ISBN (Electronic)9781510607514
DOIs
Publication statusPublished - 2016
Event2nd International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2016 - Legian - Kuta, Bali, Indonesia
Duration: 24 Aug 201625 Aug 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10150
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2nd International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2016
Country/TerritoryIndonesia
CityLegian - Kuta, Bali
Period24/08/1625/08/16

Keywords

  • Daugman algorithm
  • Digital image analysis
  • Iris biometric
  • Multispectral imaging

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