Automation of Fingerprint Recognition Using OCT Fingerprint Images

Nasibe Akbari, Ali Sadr

Iran University of Science and Technology, Tehran, Iran..

DOI: 10.4236/jsip.2012.31015                

Abstract

Automated recognition of a person is one of the most critical issues in the modern society. Common biometric systems rely on the surface topography of an object and, thus, are potentially vulnerable for spoofing. Optical coherence tomography is a technology that has the capability to probe the internal structure of multilayered tissues. The paper describes an algorithm for automation fingerprint recognition that the algorithm is applied on the OCT fingerprint images. This algorithm is based on scanning of the enhanced and segmented OCT images.

Keywords

Optical; Coherence; Tomography; Speckle Denoising; Fingerprint Recognition

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	S. Prabhakar, S. Pankanti and A. K. Jain, “Biometric Recognition: Security and Privacy Concerns,” IEEE Security & Privacy, Vol. 1, No. 2, 2003, pp. 33-42. doi:10.1109/MSECP.2003.1193209
[2]	D. Maltoni, D. Maio, A. K. Jain and S. Prabhakar, “Handbook of Fingerprint Recognition,” Springer, Berlin, 2003.
[3]	P. R. Vizcaya and L. A. Gerhardt, “Nonlinear Orientation Model for Global Description of Fingerprints,” Pattern Recognition, Vol. 29, No. 7, 1996, pp. 1221-1232. doi:10.1016/0031-3203(95)00154-9
[4]	T. Matsumoto, H. Matsumoto, K. Yamada and S. Hoshino, “Impact of Artificial Gummy Fingers on Fingerprint Systems,” Proceedings of SPIE, Vol. 4677, 2002, pp. 275-289. doi:10.1117/12.462719
[5]	J. M. Schmitt, S. H. Xiang and K. M. Yung, “Speckle in Optical Coherence Tomography,” Journal of Biomedical Optics, Vol. 4, No. 1, 1999, pp. 95-105.
[6]	J. Rogowska and M. E. Brezinski, “Evaluation of the Adaptive Speckle Suppression Filter for Coronary Optical Coherence Tomography Imaging,” IEEE Transactions on Medical Imaging, Vol. 19, No. 12, 2000, pp. 1261-1266.
[7]	Y.-K. Lee and W. T. Rhodes, “Nonlinear Image Processing by a Rotating Kernel Transformation,” Optics Letters, Vol. 15, No. 23, 1990, pp. 1383-1385. doi:10.1364/OL.15.001383
[8]	R. K. Manapuram, M. Ghosn and K. V. Larin, “Identification of Artificial Fingerprints Using Optical Coherence Tomography Technique,” Asian Journal of Physics, Vol. 15, 2006, pp. 15-27.