Iris liveness detection is an important module in an iris recognition system to reduce the risks of being spoofed by fake iris patterns at the sensor input. A general framework is proposed to detect multiple types of fake iris images based on texture analysis. A novel iris pattern representation method namely hierarchical visual codebook (HVC) is proposed to encode the distinctive and robust te...

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...

purpose: to present a new reliable and accurate iris recognition method applicable in identification systems. methods: the system was implemented and tested on 876 standard iris images (daugman iris images database) from 876 persons of different nationalities via image processing techniques. results: false accept reject (far) and false reject reject (frr) were smaller in our suggested method as...

This paper discusses about Enhanced iris recognition which is used to overcome some of the problem like to automate the recognition of the iris by reducing complexity and increasing algorithm speed. Various challenges are faced while working with the iris recognition system. Iris recognition systems make use of the uniqueness of the iris patterns to derive a unique mapping. Iris recognition, as...

In this paper, a new iris Segmentation method is presented. An iris recognition system acquires a human eye image, segments the iris region from the rest of the image, normalizes this segmented image and encodes features to get a compact iris template. Performance of all subsequent stages in an iris recognition system is highly dependent on correct detection of pupil-iris and iris-sclera bounda...

The interface of computer technologies and biology is having a huge impact on society. Human recognition research projects promises new life to many security-consulting. Iris recognition is considered to be the most reliable biometric authentication system. Image quality plays a crucial role in any pattern matching system. Three different iris databases have been employed for comparison of perf...

In this paper, we present a new scheme for iris recognition from focus-varying sequences of iris images. Most of the current state-of-the-art iris recognition systems use the highly focused iris images to obtain high accuracy. These systems does not recognize defocused iris images. They also take much focusing time to acquire the high quality images. Unlike the current iris recognition systems,...

by Karen P. Hollingsworth Two decades ago, the United States issued the first patent claiming the idea of an automated iris biometrics system [1]. Today, multiple companies offer commercial biometrics products. However, there are still many unanswered questions about the workings of the iris biometrics algorithms. Before iris recognition systems are more widely employed, we must ask, “when do t...

Blurred iris images are inevitable during iris image acquisition due to limited depth of field and movement of subjects. The blurred iris images lose detailed texture information for accurate identity verification, so this paper proposes a novel iris image deblurring method to enhance the quality of blurred iris images. Our method makes full use of the prior information of iris images. Firstly,...

Iris normalization is an important stage in any iris biometric, as it has a propensity to trim down the consequences of iris distortion. To indemnify the variation in size of the iris owing to the action of stretching or enlarging the pupil in iris acquisition process and camera to eyeball distance, two normalization schemes has been proposed in this work. In the first method, the iris region o...