A hybrid fuzzy framework for face detection and recognition using behavioral traits

References

• Bartlett, M. S., Movellan, J. R., & Sejnowski, T. J. Face recognition by independent component analysis. IEEE transactions on neural networks/a publication of the IEEE Neural Networks Council, 13(6), 1450 (2002). doi: 10.1109/TNN.2002.804287
   PubMed Web of Science ®Google Scholar
• Başa, B. Implementation of Hog Edge Detection Algorithm Onfpga’s. Procedia-Social and Behavioral Sciences, 174, 1567-1575 (2015). doi: 10.1016/j.sbspro.2015.01.806
   Google Scholar
• Chakraborty, A., Konar, A., Chakraborty, U. K., & Chatterjee, A. Emotion recognition from facial expressions and its control using fuzzy logic. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 39(4), 726-743 (2009). doi: 10.1109/TSMCA.2009.2014645
   Web of Science ®Google Scholar
• Chellappa, R., Wilson, C. L., & Sirohey, S. Human and machine recognition of faces: A survey. Proceedings of the IEEE, 83(5), 705-741 (1995). doi: 10.1109/5.381842
   Web of Science ®Google Scholar
• Dalal, N., & Triggs, B. Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on (Vol. 1, pp. 886-893). IEEE (2005, June).
   Google Scholar
• Gumus, E., Kilic, N., Sertbas, A., & Ucan, O. N. Evaluation of face recognition techniques using PCA, wavelets and SVM. Expert Systems with Applications, 37(9), 6404-6408 (2010). doi: 10.1016/j.eswa.2010.02.079
   Web of Science ®Google Scholar
• Guo, S., Chen, S., & Li, Y. Face recognition based on convolutional neural network and support vector machine. In Information and Automation (ICIA), 2016 IEEE International Conference on (pp. 1787-1792). IEEE (2016, August).
   Google Scholar
• Jafri, R., & Arabnia, H. R. A survey of face recognition techniques. Jips, 5(2), 41-68 (2009).
   Google Scholar
• Jones, M. J., & Viola, P. Robust real-time object detection. In Workshop on statistical and computational theories of vision (Vol. 266, p. 56) (2001, February).
   Google Scholar
• Luo, H. B., Yu, X. R., Liu, H. M., & Ding, Q. H. A method for real-time implementation of HOG feature extraction. In International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications (Vol. 8193, p. 819302). International Society for Optics and Photonics (2011, August).
   Google Scholar
• Matiko, J. W., Beeby, S. P., & Tudor, J. Fuzzy logic based emotion classification. In ICASSP (pp. 4389-4393) (2014, May).
   Google Scholar
• Martínez, A. M., & Kak, A. C. Pca versus lda. IEEE Transactions on Pattern Analysis & Machine Intelligence, (2), 228-233 (2001).
   Google Scholar
• Nikolaidis, A., & Pitas, I. Facial feature extraction and pose determination. Pattern Recognition, 33(11), 1783-1791 (2000). doi: 10.1016/S0031-3203(99)00176-4
   Web of Science ®Google Scholar
• Nelson, C. A. The development and neural bases of face recognition. Infant and Child Development: An International Journal of Research and Practice, 10(1 2), 3-18 (2001). doi: 10.1002/icd.239
   Google Scholar
• Pande, V., Elleithy, K. M., & Almazaydeh, L. Parallel processing for multi face detection and recognition (2012).
   Google Scholar
• Pang, Y., Yuan, Y., Li, X., & Pan, J. Efficient HOG human detection. Signal Processing, 91(4), 773-781 (2011). doi: 10.1016/j.sigpro.2010.08.010
   Web of Science ®Google Scholar
• Tathe, S. V., Narote, A. S., & Narote, S. P. Face detection and recognition in videos. In India Conference (INDICON), 2016 IEEE Annual (pp. 1-6). IEEE (2016, December).
   Google Scholar
• Wiskott, L., Fellous, J. M., Krüger, N., & Von Der Malsburg, C. Face recognition by elastic bunch graph matching. In International Conference on Computer Analysis of Images and Patterns (pp. 456-463). Springer, Berlin, Heidelberg (1997, September).
   Google Scholar
• Zhang, C., & Zhang, Z. A survey of recent advances in face detection (2010).
   Google Scholar
• Zhao, W., Chellappa, R., Phillips, P. J., & Rosenfeld, A. Face recognition: A literature survey. ACM computing surveys (CSUR), 35(4), 399-458 (2003). doi: 10.1145/954339.954342
   Web of Science ®Google Scholar
• Zadeh, L. A. Fuzzy sets. Information and control, 8(3), 338-353 (1965). doi: 10.1016/S0019-9958(65)90241-X
   Google Scholar
• Zadeh, L. A. The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249 (1975). doi: 10.1016/0020-0255(75)90036-5
   Web of Science ®Google Scholar
• Zhu, H. Q., Li, Q., & Liu, Q. Quaternion discrete Tchebichef moments and their applications. Int. J. Signal Process. Image Process. Pattern Recogn, 7(6), 149-162 (2014).
   Google Scholar
• Zhu, Z., Luo, P., Wang, X., & Tang, X. Recover canonical-view faces in the wild with deep neural networks. arXiv preprint arXiv:1404.3543 (2014).
   Google Scholar