The biometric person authentication technique based on the pattern of the human iris is well suited to be applied to any access control system requiring a high level of security. Commercial iris recognition systems are currently employed to allow passengers in some airports to be rapidly processed thru security, to allow access to secure areas, and for secure access to computer networks. With i...

Iris recognition is considered as one of the best biometric methods used for human identification and verification, this is because of its unique features that differ from one person to another, and its importance in the security field. This paper proposes an algorithm for iris recognition and classification using a system based on Local Binary Pattern and histogram properties as a statistical ...

Biometric and identification patterns have gained extensive research application, particularly in iris recognition. The harbors a wealth of individual-specific information, making it vital element biometric authentication. This article presents comprehensive study encompassing segmentation identification. We introduce the Weighted Adaptive Hough Ellipsopolar Transform Convolutional Neural Netwo...

Iris is one of the most currently used biometric trait as it has random discriminating texture which does not change over a person’s lifetime. It is unique for all individuals, even for twins and the left and right eyes of the same individual. This paper describes an iris recognition system which includes phases like segmentation, normalization, segregating unwanted parts like occlusion, specul...

Robust segmentation of an iris image plays an important role in iris recognition. Most state-of-the-art iris segmentation algorithms focus on the processing of the ideal iris images that are captured in a controlled environment. In this paper, we process the unideal iris images that are acquired in an unconstrained situation and are affected severely by gaze deviation, eyelids and eyelashes occ...

In recent years, biometric sensors are applicable for identifying important individual information and accessing the control using various identifiers by including characteristics like a fingerprint, palm print, iris recognition, so on. However, precise identification of human features is still physically challenging in humans during their lifetime resulting variance appearance or features. res...

Deployed iris recognition systems are mainly based on Daugman’s pioneering approach, and have proven their effectiveness in relatively constrained scenarios: operating in the near infra-red spectrum (NIR, 700-900 nm), at close acquisition distances and with stop-and-stare interfaces. However, the human iris supports contactless data acquisition, and it can — at least theoretically — be imaged c...

The limitation of traditional iris recognition systems to process images captured in unconstraint environments is a breakthrough. Automatic has face unpredictable variations real-world applications. For example, the most challenging problems are related severe noise effects that inherent these unconstrained systems, varying illumination, obstruction upper or lower eyelids, eyelash overlap with ...

.............................................................................................................................. 2 Acknowledgments............................................................................................................... 4 1 Chapter 1................................................................................................................... 14 Introduct...