Secure Authentication using Iris, Face and Signature

System security is becoming increasingly critical. The number of hacked systems is growing all the time, and authentication is a critical first line of security against hackers. 

In terms of information content, iris, face, and signature as a biometric are quite rich. It provides one of the most secure authentications. The authentication procedure, which involves comparing the current subject's iris, face, and signatures with the stored version, is one of the most accurate, with very low false acceptance and denial rates, once the images have been captured using a conventional camera. 

This work proposes three algorithms for secure authentication i.e., iris authentication, face authentication, and signature authentication using convolutional neural networks. The authentication results for the three techniques were obtained and compared.

Keywords: Iris authentication, Face authentication, Signature authentication, Security systems, Convolutional neural networks.