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Iris Recognition System Using PCA Based on DWT

Author

Listed:
  • Rana H

    (Departmnet of CSE, Green University of Bangladesh, India)

  • Shafiul A

    (Department of CSE, Pabna University of Science and Technology, Bangladesh, India)

  • Rashida A

    (Department of CSE, Pabna University of Science and Technology, Bangladesh, India)

Abstract

The Biometric recognition is the study of identifying individuals based on their unique physiological or behavioral characteristics, includes iris, face, fingerprint, retina, vein, hand geometry, hand writing, human gait, signature, keystrokes and voice. Among the biometrics, an iris has unique structure and it remains stable over a person life time. So that iris recognition is regarded as the most accurate and reliable biometric recognition system.

Suggested Citation

  • Rana H & Shafiul A & Rashida A, 2017. "Iris Recognition System Using PCA Based on DWT," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 4(2), pages 26-30, December.
    • Handle: RePEc:adp:jbboaj:v:4:y:2017:i:2:p:26-30
    DOI: 10.19080/BBOAJ.2017.04.555632
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