Author : Akash S. Dange 1
Date of Publication :7th September 2016
Abstract: A biometric system is a system that uses behavioral and physiological characteristic (e.g. iris, fingerprint, face, keystroke, signature, voice) of a person to identify that person. Now days, these biometric systems are vulnerable to adversary attacks. So, the development of novel and efficient security measure is required for the identification of fake trait. In this paper, we have presented a software based multi-biometric liveness detection system which is used to identify a live trait and intruder. The proposed system uses 30 image quality measures (IQMs). These quality features are extracted from single image which is acquired for verification purpose. The present system assures that the use of liveness detection enhances security of biometric system and provides better performance and also reduces complexity of the system. It has been observed that, the proposed method is very much effective in detecting liveness of iris, fingerprint and face compared with different progressive approaches.
Reference :
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[1] M.A. Turk and A.P. Pentaland, “Face recognition using eign faces,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 586-591, 1991.
[2] A. Ross and S. Prabhakar, “ Fingerprint matching using minutiae and texture features,” International Conference on Image Processing, pp.282-285, 2001.
[3] U.M. Chaskar, N.S. Shah and T. Jaison, “Iris Image quality assessment for biometric applications,”International Journal of Computer Science, vol.3, no.1.
[4] S.Bayram, I.Avcibas, B.Sankur and N.Menon, “Image manipulation detection,” J.Electron.Imag., vol.15,no.4,pp.041102-1-041102-17,2006.
[5] M.C. Stamn and K.J.R. Liu , “Forensic detection of image manipulation using statistical intrinsic fingerprints,” IEEE Trans.Inf. Forensics Security, vol.5, no.3, pp.492-496, Sep.2010.
[6] I.Avcibas, B.Sankur and N.Menon, “Steganalysis using image quality metrics,” IEEE Trans.Imag. Process., vol.12, no.2, pp.221-229, Feb.2003.
[7] S. Lyu and H. Farid, “Steganalysis using higherorder image statistics,” IEEE Trans.Inf. Forensic Security, vol.1, no.1, pp.111-119, Mar..2006.
[8] Z.Wang, A.C.Bovic, H.R.Sheikh and P.Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Trans.Image Process, vol.13, no.4, pp.600-612, Apr. 2004.
[9] H.R. Sheikh and A.C.Bovic, H, “Image information and visual quality,” IEEE Trans.Image Process, vol.15, no.2, pp.434-444, Feb. 2006.
[10] R.Soundararajan and A.C.Bovic, “RRED: indices: Reduced reference entropic differencing for image quality assessment,” IEEE Trans.Image Process, vol.21, no.2, pp.517-526, Feb. 2012
[11] Z.Wang, A.C.Bovic and H.R.Sheikh, “Noreference perceptual quality assessment of JPEG compressed images,” in proc. IEEE ICIP, pp.477- 480, Sep. 2002
[12] A.K.Moorthy and A.C.Bovic, “A two-step framework for constructing blind image quality indices,” IEEE Signal Process. Lett., vol.17, no.5, pp.513-516, May. 2010
[13] A.Mittal, R. Soundararajan and A.C.Bovic, “Making a completely blind image quality analyzer,” IEEE Signal Process Lett., vol.20, no.3, pp.209-212, Mar. 2013.
[14] Z.Wang and A.C.Bovic, “A Universl Image Quality Index,” IEEE Signal Process. Lett., vol.9, no.3, Mar. 2002.
[15] Z.Wang, A.C.Bovic and P.Simoncelli, “Multi structural similarity for image quality assessment,”.
[16] I.Avcibas, B.Sankur and K.Syood, “Statistcal evaluation of image quality measure,” J. Electron. Imag., vol.11,no.2,pp.206-223,2002.
[17] Q. Huynh-Thu and M. Ghanbari, “Scope of validity of PSNR in image/ video quality assessment,” Electron. Lett., vol.44, no.13, pp. 800-801 2008.
[18] S. Yao, W. Lin, E. Ong and Z. Lu, “Contrast signal to noise ratio for image quality assessment,” in proc. IEEE ICIP, pp.397-400, Sep. 2005.
[19] A.M. Eskicioglu and P.S. Fisher, “Image quality measures and their performance,” IEEE Trans. Commun. Vol.43,no.12, pp.2959-2965, Dec. 1995.
[20] M.G. Martini, C.T. Hewage and B. Villarini, “Image quality assessment based on edge preservation,” Signal Process., Image Commun., vol.27,no.8, pp.875-882, 2012.