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Presentation Attack Detection on Hand Sensing Technology in Infrared Area
Richtarik, Jakub ; Sakin, Martin (referee) ; Drahanský, Martin (advisor)
When verifying a fingerprint, an attacker can use a counterfeit made of synthetic material. This can be prevented, for example, by using multispectral analysis, when various materials have different reflectance for certain wavelengths. There are several studies that have addressed this, but have always focused on one finger. The aim of this work is liveness detection on the whole palm and fingers, as on a larger object, which will contribute to even higher level of security. In the final solution, a NIR camera was used to capture the dataset, which is used to train a convolutional network to determine whether it is a living hand or a counterfeit.
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Simulation of Skin Diseases Effect Using GAN
Bak, Adam ; Goldmann, Tomáš (referee) ; Kanich, Ondřej (advisor)
Cieľom tejto diplomovej práce je vygenerovanie datasetu syntetických snímkov odtlačkov prstov, ktoré vykazujú známky kožných ochorení. Práca sa zaoberá poškodením spôsobeným kožnými ochoreniami v odtlačkoch prstov a generovaním syntetických odtlačkov prstov. Odtlačky prstov s prejavom kožných ochorení boli generované s využitím modelu založeného na Wasserstein GAN s penalizáciou gradientu. Na trénovanie GAN modelu bola použitá unikátna databáza odtlačkov prstov s prejavom kožných ochorení vytvorená na FIT VUT. Daný model bol trénovaný na troch typoch kožných ochorení: atopický ekzém, psoriáza a dyshidrotický ekzém. Sieť generátoru z natrénovaného WGAN-GP modelu bola použitá na vygenerovanie datasetov syntetických odtlačkov prstov. Tieto syntetické odtlačky boli porovnané s reálnymi odtlačkami s využitím NFIQ a FiQiVi nástrojov na určenie kvality spoločne s porovnaním rozložení lokácií a orientácii markantov v snímkoch odtlačkov prstov.
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Generation of Spoof Effects into Synthetic Fingerprints from SFinGe Generator
Vrábľová, Žofia ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
The goal of this thesis is to create application to generate spoof effects into synthetic fingerprints from the SFinGe generator. Spoof effects chosen for this thesis are air bubbles, unnatural overall shape and clear external contours of fingerprint. Those effects were analyzed, methods to generate these effects were designed and then implemented. According to testing, generation of implemented methods led to reduction in quality of fingerprint images. Score gained in a commercial tool decreased by 49.37 % in average and image quality evaluated by the method designed in Ing. Oravec's thesis decreased by 6.18 % in average, when the combination of all implemented spoof effects was generated.
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Presentation Attack Detection on Hand Sensing Technology in Infrared Area
Richtarik, Jakub ; Sakin, Martin (referee) ; Drahanský, Martin (advisor)
When verifying a fingerprint, an attacker can use a counterfeit made of synthetic material. This can be prevented, for example, by using multispectral analysis, when various materials have different reflectance for certain wavelengths. There are several studies that have addressed this, but have always focused on one finger. The aim of this work is liveness detection on the whole palm and fingers, as on a larger object, which will contribute to even higher level of security. In the final solution, a NIR camera was used to capture the dataset, which is used to train a convolutional network to determine whether it is a living hand or a counterfeit.
|
|
|
Simulation of Skin Diseases Effect Using GAN
Bak, Adam ; Goldmann, Tomáš (referee) ; Kanich, Ondřej (advisor)
Cieľom tejto diplomovej práce je vygenerovanie datasetu syntetických snímkov odtlačkov prstov, ktoré vykazujú známky kožných ochorení. Práca sa zaoberá poškodením spôsobeným kožnými ochoreniami v odtlačkoch prstov a generovaním syntetických odtlačkov prstov. Odtlačky prstov s prejavom kožných ochorení boli generované s využitím modelu založeného na Wasserstein GAN s penalizáciou gradientu. Na trénovanie GAN modelu bola použitá unikátna databáza odtlačkov prstov s prejavom kožných ochorení vytvorená na FIT VUT. Daný model bol trénovaný na troch typoch kožných ochorení: atopický ekzém, psoriáza a dyshidrotický ekzém. Sieť generátoru z natrénovaného WGAN-GP modelu bola použitá na vygenerovanie datasetov syntetických odtlačkov prstov. Tieto syntetické odtlačky boli porovnané s reálnymi odtlačkami s využitím NFIQ a FiQiVi nástrojov na určenie kvality spoločne s porovnaním rozložení lokácií a orientácii markantov v snímkoch odtlačkov prstov.
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Generation of Spoof Effects into Synthetic Fingerprints from SFinGe Generator
Vrábľová, Žofia ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
The goal of this thesis is to create application to generate spoof effects into synthetic fingerprints from the SFinGe generator. Spoof effects chosen for this thesis are air bubbles, unnatural overall shape and clear external contours of fingerprint. Those effects were analyzed, methods to generate these effects were designed and then implemented. According to testing, generation of implemented methods led to reduction in quality of fingerprint images. Score gained in a commercial tool decreased by 49.37 % in average and image quality evaluated by the method designed in Ing. Oravec's thesis decreased by 6.18 % in average, when the combination of all implemented spoof effects was generated.
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