A new noncooperative iris recognition method is proposed. In this method, the iris features are extracted using a Gabor descriptor. The feature extraction and comparison are scale, deformation, rotation, and contrast-invariant. It works with off-angle and lowresolution iris images. The Gabor wavelet is incorporated with scale-invariant feature transformation (SIFT) for feature extraction to bet...

Earlier state-of-art algorithms of iris recognition system works well for ideal-data, because of the perfect iris localization algorithms. The same ideal-algorithm suffers a lot under non-ideal data. Nonideal-data refers to eye image captured under unconstrained environments, such as non-uniform illumination, image captured at a distance, eye image with reflections, blurred image, off-axis eye ...

As we know that iris recognition is widely used biometric identification system. This system is having growing future in the area of security. In the real time security systems we need to have reliable, efficient, faster iris recognition system. Iris recognition process is consisting of iris segmentation, normalization, localization as well as matching techniques. And hence the performance of t...

Iris recognition has been widely used in several scenarios with very satisfactory results. As it is one of the earliest stages, the image segmentation is in the basis of the process and plays a crucial role in the success of the recognition task. In this paper we analyze the relationship between the accuracy of the iris segmentation process and the error rates of three typical iris recognition ...

This paper proposes a new approach for fast iris segmentation that relies on the closed nested structures of iris anatomy (the sclera is brighter than the iris, and the iris is brighter than the pupil) and on its polar symmetry. The described method applies mathematical morphology for polar/radial-invariant image filtering and for circular segmentation using shortest paths from generalized grey...

In a less constrained capture of iris images to build a high-speed iris recognition system, the design of a robust and fast iris segmentation method is important. In this paper, a new iris segmentation technique based on the Fourier spectral density is proposed for noisy frontal view eye images captured with minimum cooperation from the subjects. The proposed segmentation method is not an itera...

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...

Segmenting iris region is fundamental for iris-based biometric systems. The overall performance of an iris recognition system is highly dependent on accurate iris segmentation. In this paper, a new algorithm for iris segmentation is proposed towards more accurate and efficient segmentation, it detects the precise pupil contour and localizes the limbic boundary. An improved snake model is presen...

With the increasing imaging and processing capabilities of today’s mobile devices, userauthentication using iris biometrics has become feasible. However, as the acquisition conditionsbecome more unconstrained and as image quality is typically lower than dedicated iris acquisitionsystems, the accurate segmentation of iris regions is crucial for these devices. In this work, an end...