Abstract

The issue of exploiting or hacking a biometric template for harmful purposes can be resolved by integrating steganography and cryptography into the biometric system. It is no longer safe enough to identify someone using a password or personal identification number (PIN). Iris recognition is considered to be one of the best and accurate form of biometric measurements compared to voice, palm print, ear and hand geometry because iris of every person is unique, it never changes during human life, time and highly protected against damage. In this work, a cipher text is embedded into a cover image by the steganography (LSB) algorithm, creating a stego image. The two-level security techniques provide high embedded capacity and eminence stego images that are resistant to attackers. An iris template was generated from the MMU dataset and encrypted using the hybridize cryptography (Blowfish and AES) algorithm. Only a PNG image was used as the master or cover file. The dataset for this study was obtained from CASIA iris-V4 Dataset.