Establishing identity is becoming critical in our vastly interconnected society. Questions such
as" Is she really who she claims to be?,"" Is this person authorized to use this facility?," or" Is …

An overview of the iris image segmentation methodologies for biometric purposes is
presented. The main focus is on the analysis of the ability of segmentation algorithms to …

Iris recognition, the ability to recognize and distinguish individuals by their iris pattern, is the
most reliable biometric in terms of recognition and identification performance. However …

Accurate iris detection is a crucial part of an iris recognition system. One of the main issues
in iris segmentation is coping with occlusion that happens due to eyelids and eyelashes. In …

Practical iris-based identification systems are easily accessible for data collection at the
matching score level. In a typical setting, a video camera is used to collect a single frontal …

Reliable personal recognition is critical to many processes. Nowadays, modern societies
give higher relevance to systems that contribute to the increase of security and reliability …

A one-dimensional approach to iris recognition is presented. It is translation-, rotation-,
illumination-, and scale-invariant. Traditional iris recognition systems typically use a two …

Wavelet packet decomposition has been successfully applied to image analysis and
classification. The most common approach for wavelet packet-based texture classification is …

Decision tree learning algorithms have been successfully used in knowledge discovery.
They use induction in order to provide an appropriate classification of objects in terms of …

The iris is the colored ring of tissue behind the cornea and in front of the lens. The pattern
within the iris is very unique to each person, and even the left eye is unique from the right …