This study provides a comprehensive comparison of various iris recognition algorithms,
including Hamming distance, feed-forward neural network, and support vector machine …

It is indispensable to ensure security biometrically in the most authentication and
identification scenario. Iris recognition regarded as the most reliable biometric recognition …

Background: Biometric identification plays a crucial role in various industries such as retail,
and banking. Among the different biometric traits, iris patterns have become a reliable …

Iris is a powerful tool for reliable human identification. It has the potential to identify
individuals with a high degree of assurance. Extracting good features is the most significant …

Machine learning is that which provides the systems the ability to improve on experience
without being programmed. Higher accuracy rate is a challenging problem with Iris …

Biometrics is the science of verifying the identity of an individual through physiological
measurements or behavioral traits. Since biometric identifiers are associated permanently …

Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

Iris image is the most important and unique feature in the field of biometrics and a powerful
tool for human identification because of its strong and unique textual information. Extracting …

Quite a lot of techniques proven to be resourceful have been espoused to develop iris
recognition system. Nearly hybridized, supervised and unsupervised artificial neural network …

The iris has been proven to be one of the most stable and accurate biometrics. It has been
widely used in recognition systems to determine the identity of the individual who attempts to …