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Filters: Author is Ali, M. A. M.  [Clear All Filters]
2019-03-22
Ali, M. A. M., Tahir, N. M..  2018.  Cancelable Biometrics Technique for Iris Recognition. 2018 IEEE Symposium on Computer Applications Industrial Electronics (ISCAIE). :434-437.

Iris recognition is one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. Hence, in this research the integration of cancelable biometrics features for iris recognition using encryption and decryption non-invertible transformation is proposed. Here, the biometric data is protected via the proposed cancelable biometrics method. The experimental results showed that the recognition rate achieved is 99.9% using Bath-A dataset with a maximum decision criterion of 0.97 along with acceptable processing time.