Wavelet Face Recognition Using Bayesian Classifier

Li Ping Niu; Shi Tao Yan

doi:10.4028/www.scientific.net/AMR.461.561

Paper Titles

Modeling Simulation and Optimization Study of Fresh Seafood Inventory Ordering Policies Based on Witness
p.541

The Study of Methods and Trends of Icon Design
p.547

Vegetation as a Material of Roof and City to Cool down the Temperature
p.552

Research and Development of Engineering Graphics Virtual Laboratory
p.557

Wavelet Face Recognition Using Bayesian Classifier
p.561

A Study on Changing of Minangkabau Houses from Sumatra to Malay Peninsula
p.565

Research on Kalman Particle Filter-Based Tracking Algorithm
p.571

Research on Statistic-Based Image Segmentation Method
p.575

The Effect of Inclined Arch Rib on the Dynamic Stability of Leaning-Type Arch Bridge under Earthquake
p.579

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461Wavelet Face Recognition Using Bayesian Classifier

Wavelet Face Recognition Using Bayesian Classifier

Abstract:

A novel wavelet face recognition using Bayesian classifier technique is presented. Wavelet-based and 2DLDA method have to down sample the original image dataset. In the preprocessing stage, the system uses 2DLDA to select the N top-ranked candidate images but forges making the final choice among those candidates, secondly all the candidate images are decomposed by applying wavelet transform, Bayesian recognition is parallel processed using these sub-band images. Final decision is made by use of weighed average. Our experiments on FERET have shown the effectiveness of the method.

You might also be interested in these eBooks

Advanced Building Materials and Structural Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 461)

Pages:

561-564

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.561

Citation:

Cite this paper

Online since:

February 2012

Authors:

Li Ping Niu, Shi Tao Yan

Keywords:

2DLDA, Bayesian Classifier, Face Recognition, Wavelet Transform (WT)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M. Turk, A. Pentland, Eigenfaces for Recognition, J. Cognitive Neurosci, 1991, 3 (1): pp.71-86.

Google Scholar

[2] P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. On Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp.711-720, (1997).

DOI: 10.1109/34.598228

Google Scholar

[3] WANG Xiao gang , TANG Xiao ou. Bayesian face recognition based on Gaussian mixture models[C] /Proc of the 17th International Conference on Pattern Recognition. 2004: 142-145.

DOI: 10.1109/icpr.2004.1333724

Google Scholar

[4] WANG Xiao gang, TANG Xiao ou. Bayesian face recognition using Gabor features[C] /Proc of ACM SIGMM Workshop on Biometrics Methods and Applications. 2003: 70-73.

DOI: 10.1145/982507.982521

Google Scholar

[5] B. Moghaddam, T. Jebara, and A. Pentland, Bayesian Face Recognition, Pattern Recognition, Vol. 33, pp.1771-1782, (2000).

DOI: 10.1016/s0031-3203(99)00179-x

Google Scholar

[6] Yang Jian, et al. Two-dimensional PCA: A New Approach to Appearance-based Face Representation and Recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(1): 131-137.

DOI: 10.1109/tpami.2004.1261097

Google Scholar