We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Improving Iris Template Security using Genetic Algorithm.
- Authors
Mahajan, Neha; Koccher, Aarti
- Abstract
Biometric recognition system is used to identify the person based on their behavioral characteristics. Different traits are used to authorize the identity of the person. Iris recognition is one of the biometric recognition systems which are highly in use nowadays. But the only issue that exists in this biometric trait is related to the security of the iris data which is maintained by the medical institutes to perform further research and for the further treatment of the patient. Lot of techniques and mechanisms had been developed in last few years which are capable to secure the iris template but are not able to provide the high level security. In this paper, we provide a new type of mechanism for high level security to the iris template by using the concept of data hiding. For the purpose of data hiding the concept of GA i.e. Genetic Algorithm is applied along with the encryption process with a valid key. We also provide a briefing to the stages that are followed while applying the proposed work. The simulation is performed under MATLAB. The comparison is done between the proposed work and LSB technique of data hiding. The performance evaluation parameters like Receiver Operating characteristic Curve (ROC), False Acceptance Ratio (BER), Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) are considered for the evaluation of the proficiency of the proposed work in contrast to the traditional Least Significant Bit (LSB) mechanism and it is achieved that the security level is high in the proposed work as compare to the previous.
- Subjects
GENETIC algorithms; COMBINATORIAL optimization; EVOLUTIONARY computation; BIOMETRIC identification; IRIS recognition; BIOMETRIC eye scanning systems
- Publication
International Journal of Advanced Research in Computer Science, 2017, Vol 8, Issue 5, p2622
- ISSN
0976-5697
- Publication type
Article