1Assistant Professor, ECE Department, KL Deemed to be University, Vadeswaram, Andhara Pradesh
2Assistant Professor, ETCE Department, Sathyabama Institute of Science and Technology, Chennai
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.
Iris recognition, Multilevel threshold, ciliary feature, Gaussian filter
