Iris biometric systems apply filters to iris images to extract information about iris texture.
Daugman's approach maps the filter output to a binary iris code. The fractional Hamming …

The most common iris biometric algorithm represents the texture of an iris using a binary iris
code. Not all bits in an iris code are equally consistent. A bit is deemed fragile if its value …

Biometrics has gained a lot of attention over recent years as a way to identify individuals. Of
all biometrics-based techniques, the iris-pattern-based systems have recently shown very …

The popularity of iris biometric has grown considerably over the past two to three years. It
has resulted in the development of a large number of new iris encoding and processing …

With an increasing emphasis on security, automated personal identification based on
biometrics has been receiving extensive attention over the past decade. Iris recognition, as …

Iris recognition has been demonstrated to be an efficient technology for personal
identification. In this work, methods to perform iris encoding using bi-orthogonal wavelets …

Iris recognition has received increasing attention in recent years as a reliable approach to
human identification. This paper makes an attempt to analyze the local feature structure of …

We note that the images in the CASIA version 1.0 iris data set have been edited so that the
pupil area is replaced by a circular region of uniform intensity. We recommend that this data …

This paper is concerned in analyzing iris texture in order to determine “soft biometric”,
attributes of a person, rather than identity. In particular, this paper is concerned with …

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 …