Abstract
This paper proposed a novel algorithm named 2D Gabor Wavelets Window (GWW) method. The GWW scans the image top left to bottom right to extract the local feature vectors (LFVs). A parametric feature vector is derived by downsampling and concatenating these LFVs for face representation and recognition. Compared with the Gabor Wavelets representation of the whole image, the total cost is reduced by maximum of 39% whilst the performance achieved better than the conventional PCA method when experimented on both the ORL and XM2VTSDB databases without any preprocessing.
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References
Turk, M., Pentland, A.: Eigenfaces for recognition. Journal of Cognitive Neuroscience 3, 71–86 (1991)
Liu, C.J., Wechesler, H.: Gabor Feature Based Classification Using the Enhanced Fisher Linear Discriminant Model for Face Recognition. IEEE Trans. On Image Processing 11(4), 467–476 (2002)
Liu, C.J.: Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition. IEEE Trans. on PAMIÂ 26(5) (2004)
Qin, J., He, Z.S.: A SVM Face Recognition Method Based on Gabor-Featured Key Points. In: Proc. 4th IEEE Conf. on Machine Learning and Cybernetics, pp. 5144–5149 (2005)
Kalocsai, P., von der Malsburg, C., et al.: Face recognition by statistical analysis of feature detectors. Image and Vision Computing 14(4), 273–278 (2000)
Hamamoto, Y., Uchimura, S., et al.: A Gabor Filter-Based Method for Recognizing Handwritten Numerals. Pattern Recognition 31(4), 395–400 (1998)
Dailey, M., Cottell, G.: PCA=Gabor for Expression Recognition. UCSD Computer Science and Engineering Technical Report CS-629 (1999)
Alterson, R., Spetsakis, M.: Object recognition with adaptive Gabor features. Image and Vision Computing 22, 1007–1014 (2004)
Zhu, J.K., Vai, M.I., et al.: Face Recognition Using 2D DCT with PCA. In: The 4th Chinese Conf. on Biometric Recognition (Sinobiometrics 2003), December 7-8 (2003)
Chien, J.T., Wu, C.C.: Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition. IEEE Trans. on PAMIÂ 24(12) (2002)
Messer, K., Matas, J., et al.: XM2VTSDB: The extended M2VTS database. In: Proceeding of AVBPA 1999, pp. 72–77 (1999)
Jonsson, K., Kittler, J., et al.: Support Vector Machines for Face Authentication. In: Proceeding of BMVC 1999, pp. 543–553 (1999)
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© 2006 Springer-Verlag Berlin Heidelberg
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Wang, L., Li, Y., Zhang, H., Wang, C. (2006). A Novel 2D Gabor Wavelets Window Method for Face Recognition. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_66
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DOI: https://doi.org/10.1007/11848035_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39392-4
Online ISBN: 978-3-540-39393-1
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