Age Estimation, a Gabor PCA-LDA Approach
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Authors
P. Pirozmand
- Master of Computer Science, DOS, University of Mysore, Manasagangotri Mysore-570006
M. Fadavi Amiri
- Department of Computer Engineering, Shomal University, Amol, Iran
F. Kashanchi
- Master of Computer Science, DOS, University of Mysore, Manasagangotri Mysore-570006
Nichelle Yugeeta Layne
- Master of Computer Science, DOS, University of Mysore, Manasagangotri Mysore-570006
Abstract
Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. In this paper the Gabor wavelet and its characteristics as a powerful mathematical and biological tool, was used for feature extraction. A combination of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) was used to reduce dimension and enhance class separability. Finally Euclidean distance was used to classify the images into one of three major groups. These groups are: Group1 (0 to 3 years), Group2 (5 to 10 years) and Group3 (20 to 80 years). The robustness and accuracy of the proposed system was tested on the FG-NET [1] and MORPH [2] public face aging databases. This system was able to achieve 90% accuracy.
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ISRP Style
P. Pirozmand, M. Fadavi Amiri, F. Kashanchi, Nichelle Yugeeta Layne, Age Estimation, a Gabor PCA-LDA Approach, Journal of Mathematics and Computer Science, 2 (2011), no. 2, 233--240
AMA Style
Pirozmand P., Fadavi Amiri M., Kashanchi F., Layne Nichelle Yugeeta, Age Estimation, a Gabor PCA-LDA Approach. J Math Comput SCI-JM. (2011); 2(2):233--240
Chicago/Turabian Style
Pirozmand, P., Fadavi Amiri, M., Kashanchi, F., Layne, Nichelle Yugeeta. "Age Estimation, a Gabor PCA-LDA Approach." Journal of Mathematics and Computer Science, 2, no. 2 (2011): 233--240
Keywords
- age classification
- Gabor features
- PCA
- LDA
MSC
References
-
[1]
, FG-NET Aging Database, http://www.fgnet.rsunit.com, (),
-
[2]
K. Ricanek, T. Tesafaye, MORPH: A Longitudinal Image Database of Normal Adult Age-Progression, IEEE 7th International Conference on Automatic Face and Gesture Recognition (Southampton, UK), 2006 (2006), 341--345
-
[3]
Y. H. Kwon, N. da Vitoria Lobo, Age Classification from Facial Images, Computer Vision and Image Understanding, 74 (1999), 1--21
-
[4]
X. Geng, Z. H. Zhou, Y. Zhang, G. Li, H. Dai, Learning from Facial Aging Patterns for Automatic Age Estimation, Proceedings of the 14th ACM international conference on Multimedia, 2006 (2006), 307--316
-
[5]
G. Guo, Y. Fu, T. S. Huang, C. R. Dyer, Locally adjusted robust regression for human age estimation, IEEE Workshop on Applications of Computer Vision, 2008 (2008), 1--6
-
[6]
K. Ricanek, Y. Wang, C. Chen, S. J. Simmons, Generalized multi-ethnic face age-estimation, Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems, 2009 (2009), 127--132
-
[7]
C. Liu, H. Wechsler, Gabor Feature Based Classification Using the Enhanced Fisher Linear Discriminant Model for Face Recognition, IEEE Trans. on Image Processing, 11 (2002), 467--476
-
[8]
M. Kirby, L. Sirovich, Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces, IEEE Trans on Pattern Analysis and Machine Intelligence, 12 (1990), 103--108
-
[9]
P. N. Belhumeur, J. P. Hespanha, D. J. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. on Pattern and Machine Intelligence, 19 (1997), 711--720
-
[10]
L.-L. SHEN, Z. JI, Gabor Wavelet Selection and SVM Classification for Object Recognition, Acta Automatica Sinica, 35 (2009), 350--355