Digital Authentication using Ciliry Feature Development

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.