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...

Iris recognition is well developed and works well for optimal or near-optimal iris images. Dealing with sub-optimal images remains a challenge. Resolution, wavelength, occlusion and gaze are among the most important factors for sub-optimal images. In this paper, we explore the sensitivity of matching to these factors through analysis and numerical simulation, with particular emphasis on the seg...

Iris detection is a crucial part of an iris recognition system. One of the main issues in iris segmentation is coping with occlusions that happen due to eyelids and eyelashes. In this paper, only the lower part of the iris is utilized for recognition. Wavelet based texture features along with a mixed Hamming; harmonic mean distance classifier is used for identzjication. It is observed that rely...

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...

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...

Pupil segmentation is usually the first step used for searching iris regions. Iris localization is an extremely important procedure in iris biometrics systems, since the correct segmentation of inner and outer boundaries is critical to achieve high recognition rates. An iris localization method based on a spring force-driven iterative scheme, called Pulling & Pushing have been proposed by He et...

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...

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 ...

:Iris recognition becomes one of the most accurate and secures biometric method used today. The execution time of the iris recognition algorithm on general purpose sequential system as central processing unit is too high, so it cannot work in the real time applications. In this paper, an enhancement for the iris recognition system was applied for each processing part to speed up the execution t...

 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...