Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis.
Fingerprint recognition is one of the most widely used methods of biometrics. This method relies on the surface topography of a finger and, thus, is potentially vulnerable for spoofing by artificial dummies with embedded fingerprints. In this study, we applied the optical coherence tomography (OCT) technique to distinguish artificial materials commonly used for spoofing fingerprint scanning systems from the real skin. Several artificial fingerprint dummies made from household cement and liquid silicone rubber were prepared and tested using a commercial fingerprint reader and an OCT system. While the artificial fingerprints easily spoofed the commercial fingerprint reader, OCT images revealed the presence of them at all times. We also demonstrated that an autocorrelation analysis of the OCT images could be potentially used in automatic recognition systems.
Cheng
Yezeng
Y
Biomedical Optics Laboratory, Biomedical Engineering Program, University of Houston, Texas 77204-4006, USA.
Larin
Kirill V
KV
D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods*; D016494:Computer Security; D003878:Dermatoglyphics; D005385:Fingers / Q000033:anatomy & histology; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012867:Skin / Q000166:cytology*; D013223:Statistics as Topic; D041623:Tomography, Optical Coherence / Q000379:methods*