This paper focuses on the iris recognition without the cooperation of the subject. The main objective of this analysis is to implement a system that can identify fake identification and deal with noisy images. Current iris recognition system lacks the capability to deal with noisy images and produces increased error rates. In these conditions, we propose a system that can overcome these barrier...

Novel method for personal identification, based on adaptive size neighborhood entropy of iris images, was proposed. Through the process of segmentation, iris was extracted from other regions of the human eye, geometrically transformed and normalized. Entropy calculations performed for different neighborhood sizes allows simultaneous distinguishing of fine and global iris texture. Described meth...

The dramatic growth in practical applications for iris biometrics has been accompanied by many important developments in the underlying algorithms and techniques. Among others, one of the most active research areas concerns about the development of iris recognition systems less constrained to users, either increasing the image acquisition distances or the required lighting conditions. The main ...

The paper presents an iris ageing analysis based on comparison results obtained for three different iris matchers (two of them have not been used earlier in works devoted to iris template ageing). For the purpose of this research we collected an iris ageing database of samples captured even eight years apart. To our best knowledge, this is the only database worldwide of iris images collected wi...

A new fingerprint parameterization for liveness detection based on quality measures is presented. The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising over 4,500 real and fake images acquired with three different optical sensors. The proposed solution proves to be robust to the multi-sensor scenario, and pr...

The recently published paper by Rankin et al. [1] ‘‘Iris recognition failure over time: The effects of texture’’ is paradoxical because in fact no changes over time were demonstrated, either in the iris patterns or in the system performance. The authors measured iris recognition performance using ‘‘local and non-local dipole and tripole’’ methods of iris feature extraction proposed by Sun et al...

The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and various sources of intra-class variations result in the difficulty of iris representation. Although diverse iris recognition methods have been proposed, the fundamentals of iris recognition have not a unified answer. As a breakthrough of this problem, we fou...

Iris recognition has been demonstrated to be an efficient technology for personal identification. In this work, methods to perform iris encoding using bi-orthogonal wavelets and directional bi-orthogonal filters are proposed and compared. All the iris images are enhanced using the wavelet domain in-band de-noising method. This method is shown to improve the iris segmentation results. A framewor...