Biometrics as a reliable method for the automatic indention ¨ acute individuals to their physiological and behavioral based play an important role in surveillance and security in access control, border security and e-passports. In recent years an explosive growth in applications due to advances in biometric technology and has seen increasing demand for more security. However, one major limitation of current systems of biometric data that exists in the vast majority of current biometric systems, the restriction of the distance around the subject to the acquisition device. This restriction limits the applicability of biometric systems in real applications.
Face and gait biometrics for a number of decades for humans acute indention ¨ were operated at a distance because of their outward visibility and stability. Recently, the iris has been studied for recalcitrant biometrics and remote man indention acute ¨. Increasing accuracy and speed of search is the iris biometric is the performance of a biometric system to improve the remote control. The main drawback of iris recognition is the small size of the eye, the applicability of the iris for the challenges of long-haul indention acute ¨. Super-resolution techniques have been successfully used to improve image resolution. Application of super-resolution techniques to improve the resolution of iris images is the main scientific objective of this work. Pixel-based super-resolution based approaches and super-resolution: two super-resolution approaches are considered iris images in this thesis.
Most systems of iris recognition at a distance have a camera for facial recognition and a camera for imaging of the iris. This fact leads to the third research priority is the safety and Iris 3D face for improved performance. In particular, information about a person laying face, and information on gaze direction, which can be estimated from 3D face models can reduce the angle eon of * A AECT ° image of the iris. Estimates of view not only to improve the segmentation of the iris, but also the recognition performance of iris recognition system.
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