A secure identification system based on human iris recognition has been an attractive goal for researchers for a long time. In this paper, we propose an efficient iris recognition scheme. To significantly reduce the computational time that is required for locating the iris boundaries in a captured eye image, only the 3and 9o’clock sides of the iris are considered in our scheme as a search area ...

Intra-class variation is fundamental to the FNMR performance of iris recognition systems. In this paper, we perform a systematic study of modeling intra-class variation for nonideal iris images captured under less-controlled environments. We present global geometric calibration techniques for compensating distortion associated with off-angle acquisition and local geometric calibration technique...

This paper presents a multi-stage iris segmentation framework for the localization of pupillary and limbic boundaries of human eyes. Instead of applying time-consuming exhaustive search approaches, like traditional circular Hough Transform or Daugman’s integrodifferential operator, an iterative approach is used. By decoupling coarse center detection and fine boundary localization, faster proces...

This paper proposes performance evaluation of different distance measures used in color iris authentication. The color iris segmentation is carried out using histogram and circular Hough transform. The color iris features are extracted using histogram method. Different distance measures are used for iris authentication. The experimental evaluation shows that Euclidean and Manhattan distance are...

Iris recognition is emerging as one of the important methods of biometrics-based identification system. It consists of five major steps iris acquisition, segmentation, normalization, feature extraction and matching. In this work, we used Wavelet transform function in place of Hough transform function. After extraction of feature of iris used feature optimizations technique for better selection ...

Iris recognition is a relatively new and widely developing technology. The unique and distinct spatial patterns of the iris is used to create a digital signature for person identification. A common problem faced by systems is that of accurate segmentation of the region of interest (ROI). This paper discusses various texture analysis and pattern classification techniques for characterizing the ROI.

In this paper, we propose a fast circular edge detector for the iris region segmentation by detecting the inner and outer boundaries of the iris. In previous work, the circular edge detector which John G.Daugman proposed, searches the radius and the center of the iris to detect its outer boundary over an eye image. To do so, he used Gaussian filter to smooth texture patterns of the iris which c...

The success of iris recognition depends mainly on two factors: image acquisition and an iris recognition algorithm. In this study, we present a system that considers both factors and focuses on the latter. The proposed algorithm aims to find out the most efficient wavelet family and its coefficients for encoding the iris template of the experiment samples. The algorithm implemented in software ...

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...