Abstract
Biometric template protection approaches have been developed to secure the biometric templates against image reconstruction on the stored templates. Two cancellable fingerprint template protection approaches namely minutiae-based bit-string cancellable fingerprint template and modified minutiae-based bit-string cancellable fingerprint template, are selected to be evaluated. Both approaches include the geometric information of the fingerprint into the extracted minutiae. Six modified fingerprint data sets are derived from the original fingerprint images in FVC2002DB1_B and FVC2002DB2_B by conducting the rotation and changing the quality of original fingerprint images according to the environment conditions during an emergency situation such as wet or dry fingers and disoriented angle of fingerprint images. The experimental results show that the modified minutiae-based bit-string cancellable fingerprint template performs well on all conditions during an emergency situation by achieving the matching accuracy between 83% and 100% on FVC2002DB1_B data set and between 99% and 100% on FVC2002DB2_B data set.
Highlights
Biometric-based authentication system uses unique and measurable biological characteristics of an individual to verify a person [1]
In the traditional fingerprint-based authentication system without any template protection, an unknown original fingerprint image can be reconstructed from the stored minutiae template
Obtaining minutia templates is the loss of biometrics forever
Summary
Biometric-based authentication system uses unique and measurable biological characteristics of an individual to verify a person [1]. Two CB techniques are evaluated under an emergency situation for personal health record systems. One of the challenges in fingerprint template protections is the performance degradation after performing a template protection This issue is amplified when the user is unconscious because the quality of the fingerprint image might be affected by many environment conditions and human errors. Two CB techniques are evaluated with various fingerprint quality generated according to the environment conditions during an emergency situation such as wet or dry fingers and disoriented angle of fingerprint images. Ei Ei MON et al.: EVALUATING BIOMETRICS FINGERPRINT TEMPLATE PROTECTION FOR AN EMERGENCY SITUATION approach for personal health record users during an emergency situation.
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