Abstract: The finger-vein biometric offers higher degree of security, personal privacy and strong anti-spoofing capabilities than most other biometric modalities employed today. Emerging privacy concerns with the database acquisition and lack of availability of large sc... View more
Tuchin. Optical properties of human cranial bone in the spectral range from 800 to 2000 nm. In Saratov Full Meeting 2005: Optical Technologies in Biophysics and Medicine VII. International Society for Optics and Photonics, 2006.
Volker Blanz and Thomas Vetter. A morphable model for the synthesis of 3D faces.
In Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pages 187-194. ACM Press/Addison-Wesley Publishing Co., 1999.
Raffaele Cappelli. SFinGe: an approach to synthetic fingerprint generation. In International Workshop on Biometric Technologies (BT2004), pages 147-154, 2004.
Septimiu Crisan, TE Crisan et al. A low cost vein detection system using near infrared radtiation. In Sensors Applications Symposium, 2007. SAS'07. IEEE, pages 1-6. IEEE, 2007 N.D. Gagunashvili. Chi-square tests for comparing weighted histograms.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 614.2 (2010): 287-296 Henry Gray. Anatomy of the human body, 1918.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(4):424- 429,2001.
A. Kumar and C. Kwong, “Towards contactless, low cost and accurate 3D fingerprint identification,” Proc. CVPR 2013, Portland, pp. 3438-3443, June 2013.
Byung Jun Kung and Kang Ryoung Park. Real-time image restoration for iris recognition systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics,37(6):1555-1566, 2007.