The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc, the iris has some advantages such as uniqueness, stability, high recognition rate, and non-infringing etc. The iris recognition consists of iris localization, normalization, encodin...

With the pronounced need for reliable personal identification, iris recognition has become an important enabling technology in our society. Although an iris pattern is naturally an ideal identifier, the development of a high-performance iris recognition algorithm and transferring it from research lab to practical applications is still a challenging task. Automatic iris recognition has to face u...

Recognition refers to the problem of establishing a subject’s identity from a set of already known identities. Iris recognition system identifies a person from the database of iris images. Iris patterns form distinguishing characteristics for an individual. The potency of iris recognition lies in its textual information. Iris based security systems capture iris patterns of individuals and match...

In recent years, iris recognition has become a popular recognition system as compare to the existing systems. It is an important biometric method for human identification with high accuracy. It is the most reliable and accurate biometric identification system available today. The most popular biometric types are: signature, face, iris, finger prints, hand and voice. Among all these biometric te...

The iris texture curve features play an important role in iris recognition. Although better performance in terms of recognition effectiveness can be attained using the recognition approach based on the wavelet transform, the iris curve singularity cannot be sparsely represented by wavelet coefficients. In view of the better approximation accuracy and sparse representation ability of the Curvele...

Biometrics deals with identification of individuals based on their biological or behavioral characteristics. Iris recognition is one of the robust biometric technologies used for personal identification. Iris recognition includes image acquisition, segmentation, normalization, feature extraction and matching. Firstly, an iris image is acquired from CASIA database. Segmentation is used for the l...

Iris recognition has been done by many researchers in last decade. Iris recognition plays an important role to improve efficiency in biometric identification due to its reliability in highly secured areas. Such as In Airports And Harbors, Access Control In Laboratories And Factories traditional issue is focused on full fingerprint images matching and face detection are used for identification o...

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,...

INTRODUCTION In the recent years, drastic improvements have been accomplished in the areas like iris recognition, automated iris segmentation, edge detection, boundary detection etc. Iris recognition is a biometric recognition technology that utilizes the pattern recognition techniques based on the high quality images of iris. An iris recognition system mainly uses infrared or else the visible ...

This paper presents an iris recognition method based on the Morlet wavelet transform real coefficients. Firstly, it locates the iris, then makes normalization to the iris image and gets 512 columns multiplying 64 rows rectangular iris image, ensures the effective iris area. Secondly, it makes one dimension Morlet wavelet transform row by row to the iris image in the effective iris area, gets a ...