REAL TIME FACE LIVENESS DETECTION WITH IMAGE QUALITY AND TEXTURE PARAMETER

Main Article Content

Ningthoujam Sunita Devi
Dr.K. Hemachandran

Abstract

Face Biometric systems are vulnerable to spoofing attacks. The activeness of face recognition has raised concerns about face spoof attacks, where a printed photo or video of an authorized person face could be used to gain access to facilities or service. Hence, we present a novel approach based on analyzing facial image quality and face image texture for detecting whether there is a live person or a fake person. The proposed approach analyzes the spoof face detection based on video and printout image. Two different feature is extracted (chromatic moment and Local Binary Pattern (LBP)) from the face image. Extracted feature is fed into Classifier, SVM classifier trained for different face spoof attack (i.e. printed photo and played video) is used to distinguish between real and fake face.

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Articles
Author Biography

Ningthoujam Sunita Devi, Assam University, SIlchar

Department of Computer science PhD Scholar

References

L. Sun, G. Pan, Z. Wu, and S. Lao, “Blinking-Based Live Face Detection Using Conditional Random Fields,†Adv. Biometrics, pp. 252–260, 2007.

H.-K. Jee, S.-U. Jung, and J.-H. Yoo, “Liveness detection for embedded face recognition system,†Int. J. Biomed. Sci., vol. 1, no. 4, pp. 235–238, 2006.

J. Li, Y. Wang, T. Tan, and A. K. Jain, “Live face detection based on the analysis of fourier spectra,†Def. Secur., vol. 5404, pp. 296–303, 2004.

G. Pan et al., “Eyeblink-based Anti-Spoo ng in Face Recognition from a Generic Webcamera,†11th IEEE ICCV, Rio Janeiro, Brazil, Oct., vol. 14, p. 20, 2007.

M. M. Chakka, A. Anjos, and S. Marcel, “Motion-based counter-measures to photo attacks in face recognition,†IET Biometrics, vol. 3, no. 3, pp. 147–158, 2014.

M. andä andttä, J., A. Hadid, and M. Pietikä andinen, “Face spoofing detection from single images using texture and local shape analysis,†Biometrics, IET, vol. 1, no. 1, pp. 3–10, 2012.

J. Yang, Z. Lei, S. Liao, and S. Z. Li, “Face liveness detection with component dependent descriptor,†Proc. - 2013 Int. Conf. Biometrics, ICB 2013, 2013.

F. L. Detection and F. Faces, “Face Liveness Detection By Focusing on Frontal Faces and Image Backgrounds,†pp. 13–16, 2014.

T. Ojala, M. Pietikäinen, and T. Mäenpää, “Multiresolution gray-scale and rotation invariant texture classification with local binary patterns,†IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971–987, 2002.

M. Chaudhari, S. Shanta, and G. Vanjare, “A review on Face Detection and study of Viola Jones method,†Int. J. Comput. Trends Technol., vol. 25, no. 1, pp. 54–61, 2015.

“AUTOMATIC CLASSIFICATION OF PHOTOGRAPHS AND GRAPHICS *,†pp. 973–976, 2006.