Investigation the Ateb-Gabor Filter in Biometric Security Systems

Biometric information security systems are analyzed. One of the most important characteristics is the high reliability, which corresponds to the ability of the system to distinguish between biometric characteristics that correspond to different people on also it is safe to find a match. To implement this, at the filtration stage, it is proposed to use the Ateb-Gabor filter, which extends the usual filtering. With this filtering, you can improve the gradation characteristics of biometric models. The Ateb-Gabor filter was constructed and studied, graphs of the new function and corresponding frequency graphs are presented. Filtration experiments are performed. The SNR filtration quality is estimated.

[1]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[2]  Mariya Nazarkevych,et al.  The method of encryption based on Ateb-functions , 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

[3]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[4]  J. P. Jones,et al.  An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.

[5]  Sharath Pankanti,et al.  Biometrics: The Future of Identification - Guest Editors' Introduction , 2000, Computer.

[6]  Oleg Riznyk,et al.  Synthesis of optimal recovery systems in distributed computing using ideal ring bundles , 2016, 2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH).

[7]  Iryna Yurchak,et al.  Model of stegosystem images on the basis of pseudonoise codes , 2010, 2010 Proceedings of VIth International Conference on Perspective Technologies and Methods in MEMS Design.

[8]  Ivan Izonin,et al.  Two-frames image superresolution based on the aggregate divergence matrix , 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

[9]  Anil K. Jain,et al.  Attacks on biometric systems: a case study in fingerprints , 2004, IS&T/SPIE Electronic Imaging.

[10]  Natalia Lotoshynska,et al.  Single-frame image super-resolution based on singular square matrix operator , 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).

[11]  Anil K. Jain,et al.  An Introduction to Biometric Authentication Systems , 2005 .

[12]  Xinhao Liu,et al.  Noise level estimation using weak textured patches of a single noisy image , 2012, 2012 19th IEEE International Conference on Image Processing.