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...

This survey covers the historical development and current state of the art in image understanding for iris biometrics. Most research publications can be categorized as making their primary contribution to one of the four major modules in iris biometrics: image acquisition, iris segmentation, texture analysis and matching of texture representations. Other important research includes experimental...

Iris recognition, a biometric technique used in high profile applications such as border crossing systems, single factor identity verification for the ATM users, India’s Aadhaar project, Airport security. Its robustness and unobtrusiveness make it superior entrant to reinstate most of the security system around. Iris recognition is listed as a high confidence biometric identification system as ...

Iris based authentication system is a pattern recognition technique that makes the use of iris patterns, which are statistically unique. The richness and apparent stability of the iris texture make it a robust biometric trait for personal authentication. Iris is a unique part which does not change with respect to time and also every individual has unique and different pattern of iris for both t...

The second phase of the Noisy Iris Challenge Evaluation attracted participation by 67 research groups from around the world. In contrast to all current commercial iris biometrics technology, the NICE competitions focus on performing iris biometrics on visible-light images. Whereas NICE.I focused on segmentation, NICE.II focused on performance in feature extraction and matching. The eight top-pe...

Iris recognition is well developed and works well for optimal or near-optimal iris images. Dealing with sub-optimal images remains a challenge. Resolution, wavelength, occlusion and gaze are among the most important factors for sub-optimal images. In this paper, we explore the sensitivity of matching to these factors through analysis and numerical simulation, with particular emphasis on the seg...

Biometric methods have been played important roles in personal recognition during last twenty years. These methods include the face recognition, finger print and iris recognition. Recent ly iris imaging has many applications in security systems. The aim of this paper is to design and implement a new iris recognition algorithm. In this paper, the new feature extraction methods according to log-g...

Iris is a desirable biometric representation of an individual for security-related applications. However the iris segmentation and normalization process is challenging due to the presence of eye lashes that occlude the iris, the dilation of pupils due to different light illumination and several other uncontrolled factors. In this work, we enhanced Daugman method to locate the iris and normalize...