Improved Iris Recognition in 2D Eigen Space
نویسندگان
چکیده
This paper a new biometric method for personal identification is been presented by iris identification of a person in lower dimensionality and reduced template size than the other previous approaches in 2D Eigen space, so that it can be use for verification in application areas . Here the iris images are expressed in lower dimension, re-tending its features by using covariance matrix and Eigen matrix to a covariant-Eigen space vector. The proposed approach is also suitable to work on half iris image. The proposed approach shows high accurate result.
منابع مشابه
B Iris Recognition using a Scalar based Template in Eigen - space
This paper proposes a novel technique for iris recognition in the context of biometric identification of a person. The iris is a portion of the inner eye of an individual and contains an abstract and randomly generated texture pattern arising from orientation of complex tissues within this region. This random pattern can provide a unique identifier of a person if a mathematical model can be bui...
متن کاملA Gabor Improved Feature Extraction for Iris Recognition
The security is the one of the major requirements for any application, network or the internet. The Biometric systems have improved this authentication process by involving human features. A Biometric System can be based on Finger technology, Iris, Voice etc. This paper presents the hybrid model with two main techniques called Eigen value & Eigen face analysis and Gabor filter. One have maintai...
متن کاملEvaluation of the Parameters Involved in the Iris Recognition System
Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...
متن کاملA robust phase information extraction using 2-D quadrature filtering (monogenic and 2D-Log Gabor) and modified HD for matching
Abstract— The human iris recognition system is an attractive technology for identity authentication. This technology benefits from random variations in the features of the iris. Usually, an iris recognition system has 4 modules: segmentation, normalization, feature extraction and iris templates matching. This work is mainly focused on iris texture analysis and templates matching which are 2 ess...
متن کاملRotation-invariant Iris Recognition - Boosting 1D Spatial-domain Signatures to 2D
An iris recognition algorithm based on 1D spatial domain signatures is improved by extending template data from mean vectors to 2D histogram information. EER and shape of the FAR curve is clearly improved as compared to the original algorithm, while rotation invariance and the low computational demand is maintained. The employment of the proposed scheme remains limited to the similarity ranking...
متن کامل