Biomedical Signal Analysis Laboratory  
 
     
       
   
Spoofing Fingerprint Devices
 
Sujan Parthnasardhi, Reza Derakhshani, Stephanie Schuckers, Lawrence Hornak
 
The Biomedical Signal Analysis Laboratory at West Virginia University has been developing spoofing techniques in order to test a new liveness algorithm. Our spoofing technique involves a mold made from dental impression material (combination of type 0 and 3) and casts made from Play-Doh and clay. These materials are most effective since they are moisture based and most fingerprint technologies are able to image them. We enrolled eleven live subjects, formed molds from the eleven subjects, created six casts from each subject, and attempted to verify for each cast. Various fingerprint scanners, including capacitive DC, capacitive AC, optical and opto-electronic technologies, were tested. All security levels were tested. Results shown here are for the highest security level (Figure). For certain fingerprint scanners, most subjects’ casts were able to spoof the system. For all technologies, at least 3 of 11 subject’s casts were of sufficient quality to spoof fingerprint devices at least once. It should be noted that one device was chosen from each technology type. Even though the specific device manufacturer’s name is withheld, these results are tests of the entire system from scanner to image processing to pattern recognition algorithms. Conclusions regarding one technology over another should not be made, but rather, these tests are a demonstration that spoofing is possible with a variety of fingerprint devices. In addition, we also tested cadaver fingers in an attempt to address the possibility that dismembered fingers could be used to spoof fingerprint devices. In this method, fourteen cadaver fingers were enrolled and, if able to enroll, verified six times each. For one device, six cadaver fingers were not able to enroll. Cadaver fingers were able to be verified from 40-94% of the time.
 
Figure. Results of verification of Play-Doh molds made from eleven subjects, each verifying six times. The enrolled image was from the live finger.
Figure. Results of verification of cadaver fingers from 14 subjects, each verifying 6 times. The enrolled image was from the cadaver finger. Six cadaver fingers for one device were unable to enroll.
 
Published in Information Security Technical Report 2002.
 
Research Topics
 
Determination of fingerprint vitality
 
Determination of iris recognition system flaws and factors used for liveness detection
 
Perspiration for Detecting Liveness in Fingerprint Scanners—Comparison of Different Classifiers
 
Spoofing and Liveness Dectection - Brief Background
 
Spoofing Fingerprint Devices
 
Combining Lip Movement with Speech , Voice , and Facial for Identification
         
    Director: Dr. Stephanie Schuckers    Clarkson University    West Virginia University

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