COLFISPOOF: A new Database for Contactless Fingerprint Presentation Attack Detection Research

COLFISPOOF

A new Database for Contactless Fingerprint Presentation Attack Detection Research

The COLFISPOOF database contains 7,200 samples from 72 different presentation attack instrument (PAI) species. It was collected to promote research on mobile contactless fingerprint presentation attack detection (PAD). A summary of all 72 PAI species is given in the table below.

PAI material LOO group PAI material LOO group
wood glue glue default color printout blue paper printout printout
knetosil 45 knetosil default color printout blue light paper printout printout
knetosil 90 knetosil default color printout green paper printout printout
latex fashion flesh latex default color printout green light paper printout printout
modelling clay modelling clay default color printout orange paper printout printout
moldable glue blue moldable glue default color printout orange light paper printout printout
moldable glue brown moldable glue default color printout red paper printout printout
moldable glue green moldable glue default color printout rose paper printout printout
moldable glue grey moldable glue default color printout white paper printout printout
moldable glue orange moldable glue default color printout yellow paper printout printout
moldable glue pink moldable glue default color printout yellow light paper printout printout
moldable glue red moldable glue default color printout syncolfinger paper printout printout
moldable glue white moldable glue default color
moldable glue yellow moldable glue default color ds original dragonskin transparent
playdoh blue playdoh default color ds brown transparent dragonskin transparent
playdoh blue light playdoh default color gelafix gelafix transparent
playdoh brown dark playdoh default color gelatin fx gelatin transparent
playdoh brown light playdoh default color school glue glue transparent
playdoh green dark playdoh default color
playdoh green light playdoh default color ds brown dragonskin colored silicone
playdoh orange playdoh default color ds brown darkred dragonskin colored silicone
playdoh orange neon playdoh default color ds darkred dragonskin colored silicone
playdoh pink playdoh default color ds darkred brown dragonskin colored silicone
playdoh pink pale playdoh default color ds darkred brown yellow dragonskin colored silicone
playdoh purple playdoh default color ds orange dragonskin colored silicone
playdoh purple dark playdoh default color ds orange brown dragonskin colored silicone
playdoh red playdoh default color ds orange brown dark dragonskin colored silicone
playdoh teal playdoh default color ds orange brown darkred dragonskin colored silicone
playdoh white playdoh default color ds orange brown light dragonskin colored silicone
playdoh yellow playdoh default color ds orange dirty dragonskin colored silicone
playdoh yellow light playdoh default color ds red dragonskin colored silicone
sillyputty gold silly putty default color ds red brown dragonskin colored silicone
sillyputty green silly putty default color ds yellow dragonskin colored silicone
sillyputty pink silly putty default color ds yellow brown dragonskin colored silicone
sillyputty red silly putty default color ef brown yellow darkred ecoflex colored silicone
sillyputty silver silly putty default color ef brown yellow darkred orange ecoflex colored silicone
sillyputty yellow silly putty default color ef yellow brown dirty ecoflex colored silicone

 

Download and Copyright

The database is being made available without further restrictions. Interested researchers can download this database upon request. Please send an email to jannis.priesnitz@h-da.de. All publications and technical reports based upon experimental results from this database must provide acknowledgment and reference to [1]. Additional material including scripts and partitioning files are available from our github page.

References

[1] J. Kolberg, J. Priesnitz, C. Rathgeb, and C. Busch. “COLFISPOOF: A new Database for Contactless Fingerprint Presentation Attack Detection Research”, in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.