3D Whole Hand Targets: Evaluating Slap and Contactless Fingerprint Readers

We design and fabricate wearable whole hand 3D targets complete with four fingerprints and one thumb print for evaluating multi-finger capture devices, e.g., slap and contactless readers. We project 2D calibration patterns onto 3D finger surfaces pertaining to each of the four fingers and the thumb to synthetically generate electronic 3D whole hand targets. A state-of-the-art 3D printer is then used to fabricate physical 3D hand targets with printing materials that are similar in hardness and elasticity to the human skin and are optically compatible for imaging with a variety of fingerprint readers. We demonstrate that the physical 3D whole hand targets can be imaged using three commercial (500/1000 ppi) Appendix F certified slap fingerprint readers and a contactless reader. We further show that the features present in the 2D calibration patterns (e.g. ridge structure) are replicated with high fidelity on both the electronically generated and physically fabricated 3D hand targets. Results of evaluation experiments for the three slap readers and the contactless reader using the generated whole hand targets are also presented.

[1]  Laurent D. Cohen,et al.  Geodesic Remeshing Using Front Propagation , 2003, International Journal of Computer Vision.

[2]  Anil K. Jain,et al.  Design and Fabrication of 3D Fingerprint Targets , 2016, IEEE Transactions on Information Forensics and Security.

[3]  V. Falanga,et al.  Use of a durometer to assess skin hardness. , 1993, Journal of the American Academy of Dermatology.

[4]  Sistema político,et al.  Unique Identification Authority of India , 2011 .

[5]  Charles T. Loop,et al.  Smooth Subdivision Surfaces Based on Triangles , 1987 .

[6]  J. Tenenbaum,et al.  A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.

[7]  Yi Chen,et al.  Advanced Technologies for Touchless Fingerprint Recognition , 2009, Handbook of Remote Biometrics.

[8]  R Marks,et al.  Evaluation of biomechanical properties of human skin. , 1995, Clinics in dermatology.

[9]  Anil K. Jain,et al.  Fingerprint Image Enhancement: Algorithm and Performance Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..