Abstract
Previously studied fingerprint readers usually used Minutiae feature. Minutiae uses both directional maps and skeleton images because of its high FMR (False Match Rate). But unlike security attacks on Minutiae, research on directional maps and skeletal image attacks is not going well. In this paper, fingerprint images are generated using the new Pix2Pix model and analyzed representation attack vulnerabilities for the images. When the restored fingerprint by the model was recognized to the fingerprint recognizer, it showed a high recognition success rate and demonstrated the vulnerability for representation attacks on fingerprint readers that also use skeletal images.
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Acknowledgements
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-0-01419) supervised by the IITP (Institute for Information & communications Technology Promotion).
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Moon, JH., Park, JH., Kim, GY. (2021). Restore Fingerprints Using Pix2Pix. In: Park, J.J., Fong, S.J., Pan, Y., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 715. Springer, Singapore. https://doi.org/10.1007/978-981-15-9343-7_68
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DOI: https://doi.org/10.1007/978-981-15-9343-7_68
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