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 …

The iris is regarded as one of the most useful traits for biometric recognition and the
dissemination of nationwide iris-based recognition systems is imminent. However, currently …

The personal identification approaches using iris images are receiving increasing attention
in the biometrics literature. Several methods have been presented in the literature and those …

Images of a human iris contain rich texture information useful for identity authentication. A
key and still open issue in iris recognition is how best to represent such textural information …

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 …

Recent years have seen the rapid spread of biometric technologies for automatic people
recognition. However, security and privacy issues still represent the main obstacles for the …

A recent survey of iris biometric research from its inception through 2007, roughly 15 years
of research, lists approximately 180 publications. This new survey is intended to update the …

This paper focuses on noncooperative iris recognition, ie, the capture of iris images at large
distances, under less controlled lighting conditions, and without active participation of the …

Recognition of iris based on visible light (VL) imaging is a difficult problem because of the
light reflection from the cornea. Nonetheless, pigment melanin provides a rich feature source …

Orthogonal moments provide an efficient mathematical framework for computer vision,
image analysis, and pattern recognition. They are derived from the polynomials that are …