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 …

This paper presents an efficient algorithm for iris recognition using phase-based image
matching-an image matching technique using phase components in 2D discrete Fourier …

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 …

Iris recognition is a very reliable biometric modality for human identification. The immutable
and unique characteristics of the iris are the foundations for that claim. Currently, research …

In today's complex and highly dynamic computing environments, systems/services have to
be constantly adjusted to meet service level agreements (SLAs) and to improve resource …

Gait recognition is an emerging biometric technology aiming to identify people purely
through the analysis of the way they walk. The technology has attracted interest as a method …

A new set of features for personal verification and identification based on iris image is
proposed in this paper. The method consists of three major components: image pre …

Elements of a person's biometrics are typically stable over the duration of a lifetime, and
thus, it is highly important to protect biometric data while supporting recognition (it is also …

In this paper a robust segmentation and an adaptive SURF descriptor are proposed for iris
recognition. Conventional recognition systems extract global features from the iris. However …

The rich random structure of the iris, non-invasiveness and temporal stability properties
makes it one of the most powerful biometric trait for person identification. Iris recognition …