IQA(Image Quality Assessment) for Fake Biometric Detection

Vulnerability of Biometric Systems Security introduction hypothesis method results conclusion more Vulnerability of Biometric Systems Security face recognition fingerprint iris

classification of attack & detection methods introduction hypothesis method results conclusion more classification of attack & detection methods

requirement non-invasive user friendly fast low cost performance introduction hypothesis method results conclusion more requirement non-invasive user friendly fast low cost performance

hypothesis entropy(信息熵) introduction hypothesis method results conclusion more hypothesis It is expected that a fake image captured in an attack attempt will have different quality than a real sample acquired in the normal operation scenario for which the sensor was designed. degree of sharpness color and luminance level entropy(信息熵) structural distortion

none of current detection methods is general introduction hypothesis method results conclusion more current problems none of current detection methods is general example: ridge and valley frequency amount of occlusion of eye gummy fingers made out of silicone & gelatin objection providing the method with multi-attack protection capability

introduction hypothesis method results conclusion more

introduction hypothesis method results conclusion more

introduction Main Page hypothesis Topic 1 method Topic 2 results Topic 3 conclusion Topic 4 more Topic 5

introduction hypothesis method results conclusion more

Edge_Based:Sobel operator introduction hypothesis method results conclusion more Edge_Based:Sobel operator

SSIM(Structural Similarity Index Measure) introduction hypothesis method results conclusion more SSIM(Structural Similarity Index Measure) contrast or brghtness changes (nonstructural disortions)

VIF:Visual Information Fidelity introduction hypothesis method results conclusion more VIF:Visual Information Fidelity HVS: human visual system distortion change

JPEG Quality Index introduction hypothesis method results conclusion more JPEG Quality Index

Experiments and Results introduction hypothesis method results conclusion more Experiments and Results FGR:False Genuine Rate FFR:False Fake Rate HTER:HTER=(FGR+FFR)/2 AV TIME i.spoofing attack ii.synthetic sample attack iii.other methods 1.iris 2.fingerprint 3.2-D face

introduction hypothesis method results conclusion more

introduction hypothesis method results conclusion more

introduction hypothesis method results conclusion more

introduction hypothesis method results conclusion more

introduction hypothesis method results conclusion more

introduction hypothesis method results conclusion more

introduction hypothesis method results conclusion more

conclusion 1.validate the "quality difference" hypothesis introduction hypothesis method results conclusion more conclusion 1.validate the "quality difference" hypothesis 2.show high potential of IQA for secruing biometric systems 3.proposal and validation of a new biometric protectiong method

introduction hypothesis method results conclusion more