Iris segmentation plays an important and significant role in the iris recognition system. The prerequisite for accurate is correctness of segmentation. However, efficiency robustness traditional methods are severely challenged a non-cooperative environment because unfavorable factors, instance, occlusion, blur, low resolution, off-axis, motion, specular reflections. All above factors seriously ...

Biometric methods, which identify people based on physical or behavioural characteristics, are of interest because people cannot forget or lose their physical characteristics in the way that they can lose passwords or identity cards. Among these biometric methods, iris is currently considered as one of the most reliable biometrics because of its unique texture‘s random variation. Moreover, iris...

Recently, Iris recognition systems have gained increased attention especially in non-cooperative environments. One of the crucial steps in the iris recognition system is the iris segmentation because it significantly affects the accuracy of the feature extraction and iris matching steps. In this paper, a new algorithm is being proposed to segment the iris images captured in visible wavelength u...

Robust segmentation of an iris image plays an important role in iris recognition. However, the nonlinear deformations, pupil dilations, head rotations, motion blurs, reflections, nonuniform intensities, low image contrast, camera angles and diffusions, and presence of eyelids and eyelashes often hamper the conventional iris/pupil localization methods,whichutilize the region-basedor the gradient...

0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.08.014 ⇑ Corresponding author. Tel.: +86 024 83671318. E-mail address: [email protected] (X. Z In this paper, we present a noisy iris recognition frame which is learned by Adaboost on a 2D Gabor-based feature set. First, the irises are segmented and normalized by rubber sheet or simplified rubber sheet according ...

0262-8856/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.imavis.2009.04.017 * Corresponding author. Tel.: +1 305 348 3019. E-mail address: [email protected] (M. Adjouadi). Biometric research has experienced significant advances in recent years given the need for more stringent security requirements. More important is the need to overcome the rigid constraints necessitated by the practical...

This paper presents a new user dependent approach in iris recognition systems. In the proposed method, consistent bits of iris code are calculated, based on the user specifications, using the user’s mask. Another contribution of our work is in the iris segmentation phase, where a new pointwise level set approach with area preserving has been used for determining inner and outer iris boundaries,...

Iris segmentation plays an important role in an accurate iris recognition system. In less constrained environments where iris images are captured at-a-distance and on-the-move, iris segmentation becomes much more difficult due to the effects of significant variation of eye position and size, eyebrows, eyelashes, glasses and contact lenses, and hair, together with illumination changes and varyin...

Iris recognition is nowadays considered as one of the most accurate biometric recognition techniques. However, the overall performances of such systems can be reduced in non-ideal conditions, such as unconstrained, on-the-move, or noncollaborative setups. In particular, a critical step of the recognition process is the segmentation of the iris pattern in the input face/eye image. This process h...

High resolution images not only provide high recognition rate but also useful in safeguarding the iris recognition system from fake iris attack. To safeguard the iris recognition system against fake irises, one of the very popular technique is to detect the change in pupil size due to change in illumination. Many of existing methods assume that iris and pupil are circular or elliptical in natur...