Hybrid Features for Face Recognition
DOI:
https://doi.org/10.18486/ijcsnt/1.2.010Keywords:
Gabor Filter Bank, Haar Wavelets, Muti-decomposition, Wavelet-fuzzy Features, Gabor Fuzzy Features, SVMAbstract
This paper explores the combination of two types of features to evolve hybrid features. The first hybrid features arise on the application of the fuzzification function on the wavelet decomposed images and the second hybrid features are the result of applying the fuzzification function on the convolved face images with the Gabor filter bank. The Gabor fuzzy features show a better performance in terms of ROC whereas the wavelet fuzzy features have an edge over the Gabor fuzzy features in terms of identification accuracy as given by support vector machines (SVM). The algorithm was tested on ORL (Olivetti Research Laboratory) database that has slight orientations in face images.
References
Peng Yao, Jun Li, Xueyi Ye, Zhenquan Zhuang, Bin Li, “Iris Recognition Algorithm Using Modified Log-Gabor Filters,” 18th International Conference on Pattern Recognition (ICPR’06) 20–24 August, 2006, Hong Kong, Vol. 4, pp 461–464. DOI: https://doi.org/10.1109/ICPR.2006.726
Paul Viola and Michael Jones, “Robust real-time face detection”, International Journal of Computer Vision, Vol. 57, Issue 2, pp 137–154, May 2004. DOI: https://doi.org/10.1023/B:VISI.0000013087.49260.fb
Francois Fleuret and Donald Geman, “Coarse-to-fine face detection”, International Journal of Computer Vision, Vol. 41, Issue 1–2, pp. 85–107, Jan-Feb, 2001. DOI: https://doi.org/10.1023/A:1011113216584
E. Osuna, R. Freund, and F. Girosi, “Training Support Vector Machines: An application to Face Detection”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 17–19 June, 1997, Puerto Rico, pp 130–136. DOI: https://doi.org/10.1109/CVPR.1997.609310
C. P. Papageorgiou, M. Oren, and T. Poggio, “A General Framework for Object Detection”, Proceedings of Sixth International Conference on Computer Vision, 4–7 January 1998, Bombay, India, pp. 555–562. DOI: https://doi.org/10.1109/ICCV.1998.710772
S. Romdhani, P. Torr, B. Scholkopf, and A. Blake, “Computationally Efficient Face Detection”, 8th IEEE International Conf. on Computer Vision, 07–14 July, 2001, Vancouver B.C., Canada, Vol. 2, pp 695–700. DOI: https://doi.org/10.1109/ICCV.2001.937694
Henry A. Rowley, Shumeet Baluja, and Takeo Kanade, “Neural Network-Based Face Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, Issue No. 1, pp 23–38, January 1998. DOI: https://doi.org/10.1109/34.655647
H. Schneiderman and T. Kanade, “A Statistical Approach to 3D Object Detection Applied to Faces and Cars”, IEEE Conference on Computer Vision and Pattern Recognition, South Carolina 13–15 June 2000, Vol. 1, pp 746–751. DOI: https://doi.org/10.1109/CVPR.2000.855895
Vitomir Struc, R Gajsek, Nilola Pavasic, “Principal Gabor Filters for Face Recognition”, 3rd IEEE International Conference on Biometrics: Theory, Applications and Systems, 28–30 September 2009, Washington DC, pp 1–6. DOI: https://doi.org/10.1109/BTAS.2009.5339020
Xiang-Qian Wu, and Kuan Quan Wang, David Zhang, “Wavelet Based Palmprint Recognition”, First International Conference on Machine learning and Cybernetics, 4–5 November, 2002, Beijing, pp 1253–1257. DOI: https://doi.org/10.1109/ICMLC.2002.1167403
Downloads
Published
Issue
Section
License
Copyright (c) 2026 M. Hanmandlu, Farrukh Sayeed, A. Q. Ansari
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
