With a growing demand for adopting ML models for a variety of application services, it is vital
that the frameworks serving these models are capable of delivering highly accurate …

Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

Multicriteria decision making (MCDM) is one of the methods that popularly has been used in
solving personnel selection problem. Alternatives, criteria, and weights are some of the …

In recent years, safer and more reliable biometric methods have been developed. Apart from
the need for enhanced security, the media and entertainment sectors have also been …

Iris recognition has very high recognition accuracy in comparison with many other biometric
features. This paper proposes an iris recognition algorithm in which a set of iris images of a …

Biometrics were originally developed for identification, such as for criminal investigations.
More recently, biometrics have been also utilized for authentication. Most biometric …

Iris recognition applies pattern matching techniques to compare two iris images and retrieve
a comparison score that reflects their degree of (dis-) similarity. While numerous approaches …

Image feature extraction is one of the basic works for biometric analysis. This paper presents
the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms …

A fork bomb attack is a denial of service attack. An attacker generates many processes
rapidly, exhausting the resources of the target computer systems. There are several previous …

For the purpose of biometric person identification, iris recognition uses the unique
characteristics of the patterns of the iris; that is, the eye region between the pupil and the …