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a-benchmark-database-using-optical-coherence-tomography-for-fingerprints

Optical Coherence Tomography (OCT) is a high resolution imaging technology probing the internal structure of multilayered tissues. Since it provides subsurface fingerprint information which is identical to the surface texture but unaffected by any surface defects, OCT-based fingerprints open up a new domain for establishing robust and high security automatic fingerprint identification systems (AFISs). However, the development of OCT-based fingerprint recognition is hindered by the lack of public OCT-based fingerprint database for algorithm analysis and testing. This paper, for the first time, established an OCT-based fingerprint database with thousands of fingers using our custom-built acquisition device. Moreover, the images included in the database were selected after quality evaluation based on image resolution, noise and image size. Finally, case studies including anti-spoofing, multiple subsurface fingerprint reconstruction, and verification were discussed based on the developed database. The database can serve as a benchmark for developing effective anti-spoofing, live detection and high accurate fingerprint recognition algorithms. It will significantly promote the research in the area of fingerprint biometric and will also advance the development of commercial products.

eternaitree.github.io

labeloct

This is a special software for labelling OCT fingerprint data, accompanied by a set of sample data open source. This project is contributed by Institute of Computer Vision, Shenzhen University.

resume

:space_invader: My resume / 我的简历