Irregular Iris Identification and Verification using Texture Methods
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During the last decade, Iris recognition is considered as an active biometric challenging area. The main goal is to develop a system capable of interactively making identification and verification decision with minimum consuming time. Irregularities in iris images (like poor quality, nonlinearly deformed iris images) make the cognition task more hard and challenging. Also, the inherent noise are as in iris images cause significant degradation in cognition efficiency. The typical sources of noise include blur, eyelashes or eyelids obstruction and specular reflection. Another problem that any id...
During the last decade, Iris recognition is considered as an active biometric challenging area. The main goal is to develop a system capable of interactively making identification and verification decision with minimum consuming time. Irregularities in iris images (like poor quality, nonlinearly deformed iris images) make the cognition task more hard and challenging. Also, the inherent noise are as in iris images cause significant degradation in cognition efficiency. The typical sources of noise include blur, eyelashes or eyelids obstruction and specular reflection. Another problem that any identification system suffers from is the large number of required matching trials with the database templates. All these problems open challenges in iris recognition topic.
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