A COMPREHENSIVE REVIEW ON IRIS RECOGNITION METHODS

Authors

  • Rajaa K. Hasoun University of Information Technology and Communications
  • Rasha S.Ali Ministry of culture
  • Soukaena hassan University of Technology

DOI:

https://doi.org/10.25195/ijci.v46i2.273

Keywords:

Biometrics, Iris Recognition, Image processing, DWT, CT, LBP

Abstract

The necessity for the biometrical security has been increased in order to give security and safety from the theft, frauds, etc. Iris recognition acquired a considerable value amongst all the biometrics-based systems. It is utilized used for surveillance and authentication for detecting individuals and proving an individual’s identity. The present article discusses the various stages of recognizing iris images, which include acquiring, segmenting, normalizing, extracting features, and matching. The model of a typical iris recognition system of the eye is described and the results of its work are presented. The present study will investigate the comparative performances from various methods on the feature extraction for the accuracy of the iris recognition.

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Author Biographies

Rajaa K. Hasoun, University of Information Technology and Communications

Department of Information System Mangement

Soukaena hassan, University of Technology

Computer science Department

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Published

2020-12-03