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Iris Recognition System Based on Lifting Wavelet

  • Nada Fadhil MohammedEmail author
  • Suhad A. Ali
  • Majid Jabbar Jawad
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1040)

Abstract

At present, the need for a precise biometric identification system that provides reliable identification and individual verification has rapidly increased. Biometric recognition system based on iris is a reliable human authentication in biometric technology. This paper proposed a new iris system using on lifting wavelet transform to recognize persons using low-quality iris images. At first, the iris area is localized. Then, it converted to the rectangular area. For discrimination purpose, a set of features are determined from the lifting wavelet subbands, where the iris area is analyzed to three levels. Also, the new method depends on using quantizing the two subbands (LH3 and HL3) and the average values for the two high-pass filters areas (HH1, HH2) to build the iris code. CASIA V1 dataset of iris images is used to measure the performance of proposed method. The test results indicated that the new method gives good identification rates (i.e., 98.46%) and verification rates (i.e., 100%) for CASIA V1 dataset.

Keywords

Biometric Iris recognition Lifting wavelet Identification Verification 

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Nada Fadhil Mohammed
    • 1
    Email author
  • Suhad A. Ali
    • 1
  • Majid Jabbar Jawad
    • 1
  1. 1.Department of Computer Science, College of Science for WomenUniversity of BabylonHillahIraq

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