Iris recognition is one of the emerging areas as the demand for security in social and personal areas is increasing day by day. The main and most challenging step in the process of iris recognition is iris localization. As accuracy in localization of iris significantly affect the further processing of feature extraction and template matching stages. Traditional algorithms work efficiently and a...

 Abstract—In order to develop a fast algorithm for iris recognition, it’s necessary to properly acquire and segmentate the image with little loss of information. In this work, we present a detailed algorithm of fast segmentation of the texture of the iris. To achieve that, it is used an iterative search outline of the centers and concentric rays, as well as an application of Gaussian noise and...

In this chapter, the authors propose and implement an improved iris recognition method based on image enhancement and heuristics. They make major improvements in the iris segmentation phase. In particular, the authors implement the raised to power operation for more accurate detection of the pupil region. Additionally, with their technique they are able to considerably reduce the candidate limb...

BACKGROUND Facial palsy or paralysis (FP) is a symptom that loses voluntary muscles movement in one side of the human face, which could be very devastating in the part of the patients. Traditional methods are solely dependent to clinician's judgment and therefore time consuming and subjective in nature. Hence, a quantitative assessment system becomes apparently invaluable for physicians to begi...

Biometric technologies are the foundation of personal identification systems. It provides an identification based on a unique feature possessed by the individual. This paper provides a walkthrough for image acquisition, segmentation, normalization, feature extraction and matching based on the Human Iris imaging. A Canny Edge Detection scheme and a Circular Hough Transform, is used to detect the...

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-processing, feature extraction and classification. During image pre-processing, the iris segmentation is carried out using Restricted Circular Hough transformation (RCHT). Then only two disjoint quarters of the segmented iris ...

Biometric methods have been played important roles in personal recognition during last twenty years. These methods include the face recognition, finger print and iris recognition. Recently iris imaging has many applications in security systems. The aim of this paper is to design and implement a new iris recognition algorithm. In this paper, the new feature extraction methods according to ridgel...

In the present age of digital impersonation, biometric techniques are being used increasingly to prevaricate against identity thefts. Iris recognition is a proven, accurate means to identify people. Iris is regarded as the most reliable biometric feature in terms of its uniqueness and robustness. The objective of this work is to present a biometric authentication system for high security physic...

Iridology is an art of knowledge to detect a specific disease of human body from the iris. The detection will tell each individual organ when it has low or high performance (abnormal). The iris reveals conditions change of every part of the body. Every organ and part of the body are represented in the iris in a well-defined area. The objective of research is to develop an iris database of colon...

Human iris recognition is one of the prominent type of biometric identification system. Iris recognition systems use texture modeling for the segmentation and classification of iris images. Texture modeling is an active research field and different techniques have been exhaustively studied for this purpose, including wavelet transform. However, due to the limited capability for capturing direct...