Abstract
In this paper, we propose a novel face recognition technique based on discrete wavelet transform and Local Binary Pattern (LBP) with adapted threshold to recognize avatar faces in different virtual worlds. The original LBP operator mainly thresholds pixels in a specific predetermined window based on the gray value of the central pixel of that window. As a result the LBP operator becomes more sensitive to noise especially in near-uniform or flat area regions of an image. To deal with this problem we propose a new definition to the original LBP operator not based only on the value of the central pixel of a certain window, but based on all pixels values in that window. Experiments conducted on two virtual world avatar face image datasets show that our technique performs better than original LBP, wavelet LBP, adaptive LBP and wavelet adaptive LBP in terms of accuracy.
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References
Guo, Z., Zhang, L., Zhang, D., Mou, X.: Hierarchical Multiscale LBP for Face and Palmprint Recognition. In: International Conference on Image Processing, Hong Kong, pp. 4521–4524 (2010)
Mohamed, A.A., D’Souza, D., Baili, N., Yampolskiy, R.V.: Avatar Face Recognition using Wavelet Transform and Hierarchical Multi-scale LBP. In: 10th IEEE International Conference on Machine Learning and Applications, Honolulu, Hawaii, pp. 194–199 (2011)
Gavrilova, M.L., Yampolskiy, R.V.: Applying Biometric Principles to Avatar Recognition. In: International Conference on Cyberworlds, Singapore, pp. 179–186 (2010)
Turk, M., Pentland, A.: Face Recognition using Eigenfaces. In: IEEE Conference on Computer Vision and Pattern Recognition, Maui, HI, pp. 586–591 (1991)
Lu, J., Plataniotis, K.N., Venetsanopoulos, A.N.: Face Recognition Using LDA Based Algorithms. IEEE Transactions on Neural Networks 14(1), 195–200 (2003)
Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures with classification based on featured distributions. Pattern Recognition 29(1), 51–59 (1996)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution Gray-Scale and Rotation Invriant Texture Classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(7), 971–987 (2002)
Ahonen, T., Hadid, A., Pietikainen, M.: Face Description with Local Binary Patterns: Application to Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12), 2037–2041 (2006)
Akhloufi, M.A., Bendada, A.: Locally Adaptive Texture Features for Multispectral Face Recognition. In: IEEE International conference on Systems Man and Cybernetics, Istanbul, Turkey, pp. 3308–3314 (2010)
Yang, H., Wang, Y.D.: A LBP-based Face Recognition Method with Hamming Distance Constraint. In: 4th International Conference on Image and Graphics, Sichuan, China, pp. 645–649 (2007)
Chen, L., Wang, Y.H., Wang, Y.D., Huang, D.: Face Recognition with Statistical Local Binary Patterns. In: 8th International Conference on Machine Learning and Cybernetics, Baoding, China, pp. 2433–2439 (2009)
Mohamed, A.A., Gavrilova, M.L., Yampolskiy, R.V.: Artificial Face Recognition using Wavelet Adaptive LBP with Directional Statistical Features. In: 12th International Conference on Cyberworlds, Darmstadt, Germany (2012)
Mazloom, M., Ayat, S.: Combinational Method for Face Recognition: Wavelet, PCA and ANN. In: International Conference on Digital Image Computing: Techniques and Applications, Canberra, pp. 90–95 (2008)
Garcia, C., Zikos, G., Tziritas, G.: A Wavelet-based Framework for Face Recognition. In: 5th European Conference on Computer Vision, Freiburg, Allemagne, pp. 84–92 (1998)
Meng, J., Gao, Y., Wang, X., Lin, T., Zhang, J.: Face Recognition based on Local Binary Patterns with Threshold. In: IEEE International Conference on Granular Computing, San Jose, CA, pp. 352–356 (2010)
Wang, W., Chang, F., Zhao, J., Chen, Z.: Automatic facial expression recognition using local binary pattern. In: 8th World Congress on Intelligent Control and Automation, Jinan, China, pp. 6375–6378 (2010)
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Mohamed, A.A., Yampolskiy, R.V. (2012). Wavelet Based Statistical Adapted Local Binary Patterns for Recognizing Avatar Faces. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_10
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DOI: https://doi.org/10.1007/978-3-642-35326-0_10
Publisher Name: Springer, Berlin, Heidelberg
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