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Research Journal of Pharmacy and Technology
Year : 2019, Volume : 12, Issue : 8
First page : ( 3759) Last page : ( 3763)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2019.00644.9

Digital Authentication using Ciliry Feature Development

Mrs. Priyadharshini B.1,*, Mrs. Gomathi T.2

1Assistant Professor, ECE Department, KL Deemed to be University, Vadeswaram, Andhara Pradesh

2Assistant Professor, ETCE Department, Sathyabama Institute of Science and Technology, Chennai

*Corresponding Author E-mail: priyadharshini8821@gmail.com, gomes20@gmail.com

Online published on 24 December, 2019.

Abstract

Security can be improved in authentication. Our methods of authentication and identification are done by Ciliary Features based matching. A novel study is improvement of biometric system for human authentication recognition application development. This authentication application mainly extracts the ciliary features from human iris, and these features are classified and matched with real time authentication application. The features extraction and recognition performance by Triangular Filtering Technique CILIARY Gradient Technique. This system consists of five steps they are Pre-processing level, Filtering level, Enhancement level, Extraction and matching level. The Features extraction techniques are CILIARY Region properties extraction, Matching and Classification.

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Keywords

Iris recognition, Multilevel threshold, ciliary feature, Gaussian filter.

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