Elimination of Iris Hazards Intended for Localization Using Visible Features of Iris Region

Iris Recognition Using Wavelet Features

The traditional iris recognition systems require equal high quality human iris images. A cheap image acquisition system has difficulty in capturing equal high quality iris images. This paper describes a new feature representation method for iris recognition robust to noises. The disc-shaped iris image is first convolved with a low pass filter along the radial direction. Then, the radially smoot...

A Novel Approach to Iris Localization for Iris Biometric Processing

Iris-based biometric system is gaining its importance in several applications. However, processing of iris biometric is a challenging and time consuming task. Detection of iris part in an eye image poses a number of challenges such as, inferior image quality, occlusion of eyelids and eyelashes etc. Due to these problems it is not possible to achieve 100% accuracy rate in any iris-based biometri...

Improved iris localization by using wide and narrow field of view cameras for iris recognition

Iris Localization using Daugman’s Intero-Differential Operator

Iris recognition is regarded as the most reliable and accurate biometric identification system. Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. These algorithms are based on linear search methods which make the identification process extremely slow and also raise the false acceptance rate b...

Iris recognition using multiscale morphologic features

A new set of features for personal verification and identification based on iris image is proposed in this paper. The method consists of three major components: image pre-processing, feature extraction and classification. During image pre-processing, the iris segmentation is carried out using Restricted Circular Hough transformation (RCHT). Then only two disjoint quarters of the segmented iris ...