Gabor wavelet selection and SVM classification for object recognition

Zidonghua Xuebao/ Acta Automatica Sinica

Volumn 35, Issue 4, 2009, Pages 350-355

  Shen, Lin Lin ^a   Ji, Zhen ^a  

^a SHENZHEN UNIVERSITY   (China)

Author keywords

Gabor feature; Object recognition; Support vector machine (SVM)

Indexed keywords

FACE RECOGNITION; OBJECT RECOGNITION;

DISCRIMINATIVE FEATURES; FEATURE-BASED; GABOR FEATURE; GABOR WAVELETS; OBJECT RECOGNITION SYSTEMS; OBJECTS RECOGNITION; SUPPORT VECTOR MACHINE; SUPPORT VECTOR MACHINE CLASSIFICATION; SUPPORT VECTORS MACHINE; WAVELET SELECTION;

SUPPORT VECTOR MACHINES;

EID: 65449123188     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.1016/s1874-1029(08)60082-8     Document Type: Article

References (28)

1. Shen L L, Bai L. A review on Gabor wavelets for face recognition. Pattern Analysis and Applications, 2006, 9(2-3): 273-292.
2. Wang W, Li J W, Huang F F, Feng H L. Design and implementation of Log-Gabor filter in fingerprint image enhancement. Pattern Recognition Letters, 2008, 29(3): 301-308.
3. Ding K, Liu Z B, Jin L W, Zhu X H. A comparative study of Gabor feature and gradient feature for handwritten Chinese character recognition. In: Proceedings of International Conference on Wavelet Analysis and Pattern Recognition. Washington D. C, USA: IEEE, 2007. 1182-1186.
4. Wiskott L, Fellous J M, Kriiger N. Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 775-779.
5. Phillips P J, Moon H, Rizvi S A, Rauss P J. The FERET evaluation methodology for face-recognition lgorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1090-1104.
6. Chung K C, Kee S C, Kim S R. Face recognition using principal component analysis of Gabor filter responses. In: Proceedings of International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. Corfu, Greece: IEEE, 1999. 53-57.
7. Liu C J, Wechsler H. Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing, 2002, 11(4): 467-476.
8. Shen L L, Bai L, Fairhurst M. Gabor wavelets and general discriminant analysis for face identification and verification. Image and Vision Computing, 2007, 25(5): 553-563.
9. Zhang W C, Shan S Q, Gao W, Chang Y Z, Cao B, Yang P. Information fusion in face identification. In: Proceedings of the 17th International Conference on Pattern Recognition. Washington D. C, USA: IEEE, 2004. 950-953.
10. Qin J, He Z S. A SVM face recognition method based on Gabor-featured key points. In: Proceedings of the 4th International Conference on Machine Learning and Cybernetics. Washington D. C, USA: IEEE, 2005. 5144-5149.
11. Shen L L, Bai L. MutualBoost learning for selecting Gabor features for face recognition. Pattern Recognition Letters, 2006, 27(15): 1758-1767.
12. Daugman J G. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America A - Optics Image Science and Vision, 1985, 2(7): 1160-1169.
13. Gabor D. Theory of communications. Journal of Institution of Electrical Engineers, 1946, 93(26): 429-457.
14. Granlund G H. In search of a general picture processing operator. Computer Graphics and Image Processing, 1978, 8(2): 155-173.
15. Shen L L, Bai L. 3D Gabor wavelets for evaluating SPM normalization algorithm. Medical Image Analysis, 2008, 12(3): 375-383.
16. Bianconi F, Fernandez A. Evaluation of the effects of Gabor filter parameters on texture classification. Pattern Recognition, 2007, 40(12): 3325-3335.
17. Li M, Staunton R C. Optimum Gabor filter design and local binary patterns for texture segmentation. Pattern Recognition Letters, 2008, 29(5): 664-672.
18. Zhang B C, Shan S G, Chen X L, Gao W. Histogram of Gabor phase patterns (HGPP): a novel object representation approach for face recognition. IEEE Transactions on Image Processing, 2007, 16(1): 57-68.
19. Lades M, Vorbruggen J C, Buhmann J, Lange J, von der M C, Wurtz R P. Distortion invariant object recognition in the dynamic link architecture. IEEE Transactions on Computers, 1993, 42(3): 300-311.
20. Kriieger V, Sommer G. Gabor wavelet networks for efficient head pose estimation. Image and Vision Computing, 2002, 20(9-10): 665-672.
21. Krüeger V, Sommer G. Gabor Wavelet Networks for Object Representation, Technical Report CS-TR-4245, Center for Automation Research, University of Maryland, USA, 2001.
22. Krüeger V, Sommer G. Wavelet networks for face processing. Optical Society of America Journal, 2002, 19(6): 1112-1119.
23. Freund Y, Schapire R. A short introduction to boosting. Journal of Japanese Society for Artificial Intelligence, 1999, 14(5): 771-780.
24. Burges C J C. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 1998, 2(2): 121-167.
25. Cristianini N, Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge: Cambridge University Press, 2000.
26. Carbonetto P. Viola training data[Online], available: http://www.cs.ubc.ca/-pcarbo/, April 30, 2008.
27. The UIUC image database for car detection[Online], available: http://12r.cs.uiuc.edu/cogcomp/Data/Car/, April 30, 2008.
28. SVM-light package vector machine[Online], available: http://svmlight.joachims.org/, April 30, 2008.