Iris recognition algorithm based on Contourlet Transform and Entropy

• Ezzaki, Ayoub ^[2] ; Idrissi, Nadia ^[2] ; Moreno, Francisco-Angel ^[1] ; Masmoudi, Lhoussaine ^[2]
  1. [1] Universidad de Málaga

     Universidad de Málaga

     Málaga, España

     
  2. [2] LCS laboratory, Physics Dept. Faculty of science, Mohammed V University in Rabat
• Localización: ELCVIA. Electronic letters on computer vision and image analysis, ISSN-e 1577-5097, Vol. 19, Nº. 1, 2020 (Ejemplar dedicado a: June 2020), págs. 53-68
• Idioma: inglés
• Enlaces
  • Texto completo  1    2  
• Resumen

  • The iris is one of the most secure biometric information that is widely employed in authentication systems. In this paper we present a method for iris recognition based on the Contourlet Transform and Entropy which entails i) the detection and segmentation of the iris, ii) its normalization, iii) the application of the Contourlet Transform, iv) the generation of the iris descriptor, and v) the matching between the query iris and those in the database. The proposed method has been tested with images taken from the popular CASIA-V4 and UBIRIS.v1 datasets and compared against four other iris recognition algorithms. The results show a higher true positive rate with a reduced computation time.