The probabilityof the biometric system to be spoofed is widely acknowledged. Complete security does not really exist, butsignificant efforts have led to study such threats and to develop countermeasures to direct attacks to the biometric system in an attempt to ensure the security and to reduce this risk.
This paper presents two novel anti-spoofing techniques to protect iris biometric system from spoof attack, static and dynamic. Static technique is based on the principle of degree of sharpening of the input eye image.Dynamic technique is based on variation of the size of the pupil if the illumination is increased. This technique is tested on 15 folders of original MMU database (Multi Media University database) Each folder contains two eyes image sampleswhichrepresent live trail and 15 folders of(MMU database) eye images printed using scanner device and photographed using a specific camera are saved in computer to represent 15 attempts of spoof attack.
The evaluation tests ofliveness detection phase for iris which is applied in iris database show that the detection of the liveness properties is very good as depicted in Table (1) and Table (2).