Authentication systems based on iris play important role to improve efficiency in biometric identification due to its reliability in highly secured areas. Iris recognition has been done by many researchers in last decade.The iris recognition systems have made large progress over the past decade. In this paper we will discuss about the complications and problems of iris recognition system.This p...

Iris Recognition is one of the most powerful biometrically based technologies for human identification and verification that utilizes the iris patterns which exhibits uniqueness for every individual. In this manuscript, a new algorithm is proposed for iris recognition on distant images. The novelty of this algorithm includes recognition through iris patterns based on both the left and right eye...

To improve unconstrained iris recognition system performance in different environments, a performance improvement method of unconstrained iris recognition based on domain adaptation metric learning is proposed. A kernel matrix is calculated as the solution of domain adaptation metric learning. The known Hamming distance computing by intra-class and inter-class is used as the optimization learni...

Biomimetic pattern recognition (BPR) has been proposed for several years, but it has never been applied to iris recognition yet. In this paper, a new iris recognition method combined with BPR was proposed here. Experiments on the CASIA iris image database show that the iris recognition method based on BPR is reliable and efficient.

Iris recognition is the mean of biometric identification using very large amount of iris database taken without contact to the human body. Basically three main methods are available to process iris data, out of which in this paper, an iris image synthesis method based on Principal Component Analysis (PCA), Independent component analysis (ICA) and Daugman’s rubber sheet model& hybrid model is pr...

Low quality iris images such as blurry, low resolution images with poor illumination create a big challenge for iris recognition systems. We propose a new iris recognition algorithm for enhancement of normalized iris images. Our algorithm is based on the logarithmic image processing (LIP) image enhancement which is used as one of the 3 stages in the enhancement process. Results from processing ...

In this paper, some successful iris recognition methods are listed and their performances are compared. Furthermore, the existing approaches, challenges and conclusion are described. The purpose of ‘Iris Recognition’ is to recognize a person from his/her iris image. Every individual has a unique iris. Iris is an important biometric method with high accuracy, performance and low error rate. Iris...

Article Information The non-intrusive property of iris recognition leads to several problems to the images of natural-open eyes and it is hard to increase the accuracy of iris recognition because of these problems. In order to ensure the non-intrusive property as well as achieve an iris recognition which has high accuracy simultaneously, this paper presents a novel iris recognition method based...

Iris masks are essential in iris recognition. The purpose of having a good iris mask is to indicate which part of iris texture map is useful and which part is occluded or contains noisy artifacts such as eyelashes, eyelids and specular re ections. The accuracy of the iris mask is extremely important. The performance of the iris recognition system will decrease dramatically when iris mask is ina...

Iris recognition has many desirable properties for reliable individual authentication but usability is its largest bottleneck to wide deployment. Thus smart interface and machine intelligent are the objective of next-generation iris recognition. This paper presents the technology roadmap for smart iris recognition (SIR). Firstly, the concept of SIR is introduced, including its definition, chara...