A biometric system is used for recognition of individual based on their physical or personal characteristics. Biometric system includes face recognition, fingerprint recognition, voice recognition , the Iris recognition etc. various study has shown that iris recognition is the most efficient biometrics. hence the work presented here involved designing a user friendly GUI based efficient and opt...

Intra-class variation is fundamental to the FNMR performance of iris recognition systems. In this paper, we perform a systematic study of modeling intra-class variation for nonideal iris images captured under less-controlled environments. We present global geometric calibration techniques for compensating distortion associated with off-angle acquisition and local geometric calibration technique...

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, 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...

Earlier state-of-art algorithms of iris recognition system works well for ideal-data, because of the perfect iris localization algorithms. The same ideal-algorithm suffers a lot under non-ideal data. Nonideal-data refers to eye image captured under unconstrained environments, such as non-uniform illumination, image captured at a distance, eye image with reflections, blurred image, off-axis eye ...

Iris recognition technique is now regarded among the most trustworthy biometrics tactics. This is basically ascribed to its extraordinary consistency in identifying individuals. Moreover, this technique is highly efficient because of iris’ distinctive characteristics and due to its ability to protect the iris against environmental and aging effects. The Problem statement of this work is that th...

Many researchers have studied iris recognition techniques in unconstrained environments, where the probability of acquiring non-ideal iris images is very high due to off-angles, noise, blurring and occlusion by eyelashes, eyelids, glasses, and hair. Although there have been many iris segmentation methods, most focus primarily on the accurate detection with iris images which are captured in a cl...

Iris segmentation is an essential module in iris recognition because it defines the effective image region used for subsequent processing such as feature extraction. Traditional iris segmentation methods often involve an exhaustive search of a large parameter space, which is time-consuming and sensitive to noise. To address these problems, this paper presents a novel algorithm for accurate and ...

A biometric system is designed to accurately identify people based on human physiological features such as face, iris, fingerprint and voice recognition. Iris recognition is considered to have the highest identification accuracy and commercial iris recognition systems have been deployed in many applications, like passports and border control. One of the key performance limitations in iris recog...