Security Improvement of the Iris Biometric System Database

Nowadays, unique identifiers are used to authenticate individuals. These identifiers are called biometrics with iris being one of the most popular ones. Research performed in this paper consist of designing a new identification system based on improved security in iris database. In this paper, we propose an iris template protection method based on Visual Cryptography (VC) and RSA. For iris template protection, the binary iris template is divided into two shares using VC, where one share is stored in the database and the other is kept with the user on a smart    card. In order to provide additional security, the share that is stored in the database is encrypted with RSA encryption. In the next step the patterns obtained from each image are compared with the patterns in the database and, by defining a threshold, the identification procedure is carried out. In this paper, the CASIA - v1 image bank has been used. The EER value after encryption is approximately 0.01. We then expose the system to different noises such as salt and pepper, white Gaussian noise and mean filt.r. After applying the noises, we haveit is observed that the system has shows been better performance compared to the than other systems which we have investigated.