Iris biometrics recognition in security management

Ahmad Ghaffari, Amin Hosseinian-Far, Akbar Sheikh-Akbari

Research output: Contribution to Book/ReportChapter

Abstract

Authentication plays a very critical role in security related applications like e-commerce. There are a number of methods and techniques for accomplishing this key process. Biometrics is gaining increasing attention in these days. Security systems, having realized the value of biometrics, use biometrics for two basic purposes: to verify or identify users. The use of fingerprints, facial characteristics and other biometrics for identification is becoming more common. The paper overviews best of biometric application for security management. The acquisition of biometric data introduces human research and privacy concerns that must be addressed by the organizations. This paper focus Iris is the best biometric feature for identity management.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages73-96
Number of pages24
ISBN (Print)9783319543796
DOIs
Publication statusPublished - 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10131 LNCS

Keywords

  • Iris datasets
  • Iris feature extraction
  • Iris image pre-processing
  • Iris recognition systems
  • Iris segmentation
  • Iris template matching

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  • Cite this

    Ghaffari, A., Hosseinian-Far, A., & Sheikh-Akbari, A. (2017). Iris biometrics recognition in security management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 73-96). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10131 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-54380-2_4