ALGORITHMS FOR DETECTING FALSE ATTACKS BASED ON ANALYSIS OF FACE IMAGE TEXTURE
Keywords:
false attack, printed attack, local binary pattern, support vector machine, error rate, RGB, HSV, YCbCr color modelsAbstract
This article analyzes the method of hacking biometric recognition systems through print attacks, and also proposes an algorithm for detecting fake facial images based on the analysis of color textures. For this purpose, in addition to the RGB color model, two other color models were used to study color texture information. CASIA and Replay-Attack databases were used for experimental research
References
Kim G., Eum S., Suhr J.K., Kim D.I., Park K.R., Kim J. Face liveness detection based on texture and frequency analyses // 5th IAPR International Conference on Biometrics (ICB), New Delhi, India. March 2012. – pp. 67-72.
Pereira T.F., Komulainen J., Anjos A., Martino J.M., Hadid A., Pietikainen M., Marcel S. Face liveness detection using dynamic texture. – EURASIP Journal on Image and video processing, vol. 2014, no. 1, pp. 2-15.
Maatta J., Hadid A., Pietikainen M. Face spoofing detection from single images using microtexture analysis // Proc. International Joint Conference on Biometrics, Washington, D.C., oct. 2011, – pр. 1–7.
Li I., Wang Y., Tan T., Jain A. K. Live face detection based on the analysis of fourier spectra // Proc. SPIE. V. 5404, Biometric Technology for Human Identification. Orlando, FL, USA. April 2004. (SPIE 5404), – рр. 296-303.
Maatta J., Hadid A., Pietikainen M. Face spoofing detection from single images using texture and local shape analysis // IET Biometrics, 2012, Vol. 1, Iss. 1, – pp. 3–10.
Boulkenafet Z., Komulainen J., Hadid A. Face anti-spoofing based on color texture analysis // IEEE International Conference on Image Processing, 2015, – pp. 2636–2640.
Choi J.Y., Plataniotis K.N., Yong M.R. Using colour local binary pattern features for face recognition // IEEE International Conference on Image Processing (ICIP), Sept 2010, – pp. 4541–4544.
Ojala T., Pietikainen M., Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns // IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 24, no. 7, Jul 2002, – pp. 971–987.
Pereira T. de Freitas, Anjos A., De Martino J.M., Marcel S., Can face anti-spoofing countermeasures work in a real world scenario? // in International Conference on Biometrics (ICB), Madrid, June 2013, – pp. 1–8.
Samarth B., Tejas D.I., Mayank V., Richa S. Face anti-spoong via motion magnication and multifeature videolet aggregation // Tech. Rep., University of Delhi, Department of Computer Science and Engineering, 5, 2014, – pp. 1-12.
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Copyright (c) 2025 Бахтиёр Абдукадиров, Гулбахор Абдукадирова
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