نتایج جستجو برای: iris localization
تعداد نتایج: 150495 فیلتر نتایج به سال:
Th is article p resents a robust method for detecting iris features in frontal face images based on circular Hough transform. The software of the applicat ion is based on detecting the circles surrounding the exterio r iris pattern from a set of facial images in d ifferent color spaces. The circular Hough transform is used for this purpose. First an edge detection technique is used for finding ...
A wide variety of systems require reliable personal recognition schemes. With the development of biometric recognition technology it is found that iris is one of the most reliable biometric recognition schemes because of its randomly distributed features and unique characteristics. The method discussed in this paper recognized the key local variation points to represent the characteristics of t...
Unlike other biometrics such as fingerprints and face, the distinct aspect of iris comes from randomly distributed features. This leads to its high reliability for personal identification and at the same time, the difficulty in effectively representing such details in an image. Iris is a protected internal organ whose random texture is stable throughout life, it can serve as a kind of living pa...
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...
Pupil localization is a very important preprocessing step in many machine vision applications. Accurate and robust pupil localization especially in non-ideal eye images (such as images with defocusing, motion blur, occlusion etc.) is a challenging task. In this paper, a detailed method to solve this problem is proposed. This method is implemented in three main steps: first, segment the rough pu...
In recent years, biometric sensors are applicable for identifying important individual information and accessing the control using various identifiers by including characteristics like a fingerprint, palm print, iris recognition, so on. However, precise identification of human features is still physically challenging in humans during their lifetime resulting variance appearance or features. res...
Iris recognition has been used as one of the biometric systems for user authentication, identification, and verification quite some time. The basis an iris lies on matching algorithm, which requires similarities data in database with captured one. In addition, nowadays using non-cosmetic or prescribed contact lenses becomes more popular preferred choice many people, makes number lens wearers si...
with an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. in general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. this rese...
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