Efficient thermal face recognition method using optimized curvelet features for biometric authentication.

ABSTRACT: Biometric technology is becoming increasingly prevalent in several vital applications that substitute traditional password and token authentication mechanisms. Recognition accuracy and computational cost are two important aspects that are to be considered while designing biometric authentication systems. Thermal imaging is proven to capture a unique thermal signature for a person and thus has been used in thermal face recognition. However, the literature did not thoroughly analyse the impact of feature selection on the accuracy and computational cost of face recognition which is an important aspect for limited resources applications like IoT ones. Also, the literature did not thoroughly evaluate the performance metrics of the proposed methods/solutions which are needed for the optimal conf

SUBMITTER: Ali MAS 

PROVIDER: S-EPMC10292695 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature