Unimodal Biometric Based Security Application by Exploiting Retina
T.S. Sasikala1, K. Siva Sankar2
1T.S. Sasikala, Research Scholar, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari (Tamil Nadu), India.
2Dr. K. Siva Sankar, Department of Information and Computer Engineering, Noorul Islam Centre for Higher Education, Kanyakumari (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 30 December 2018 | PP: 344-353 | Volume-8 Issue-2S, December 2018 | Retrieval Number: 100.1/ijeat.B10711282S18/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Biometrics based security is one of the current research trends. Though there are several prominent biometrics, retina is one of the biometrics that is literally difficult to alter or duplicate. However, the retinal based biometric systems are scarce in the existing literature. Hence, this article presents a unimodal biometric system, which relies on the retina of the human eye. This work accepts the retinal images from the DRIVE and VARIA datasets and the images are pre-processed. The geometrical and textural features are then extracted from the retinal images to build the feature vector. The feature vectors are stored in the database. In the testing phase, the retinal image is collected from the user and the same processes such as image pre-processing, feature extraction are performed and the feature vector is built. This feature vector is compared against the feature vector in the database by means of the similarity measure. The user is given access when a perfect match is encountered.
Keywords: Biometrics, Retina, User Recognition.
Scope of the Article: Big Data Analytics Application Systems