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|Title: ||A face and palmprint recognition approach based on discriminant DCT feature extraction|
|Authors: ||Jing, Xiao-Yuan|
Zhang, David D.
|Subjects: ||Discrete cosine transform (DCT)|
DCT frequency band selection
Improved Fisherface method
Linear discrimination technique
Two-dimensional (2-D) separability judgment
|Issue Date: ||Dec-2004 |
|Citation: ||IEEE Transactions on systems, man, and cybernetics. Part B, Cybernetics, Dec. 2004, v. 34, no. 6, p.2405-2415.|
|Abstract: ||In the field of image processing and recognition, discrete cosine transform (DCT) and linear discrimination are two widely used techniques. Based on them, we present a new face and palmprint recognition approach in this paper. It first uses a two-dimensional
separability judgment to select the DCT frequency
bands with favorable linear separability. Then from the selected
bands, it extracts the linear discriminative features by an improved
Fisherface method and performs the classification by the nearest
neighbor classifier. We detailedly analyze theoretical advantages
of our approach in feature extraction. The experiments on face
databases and palmprint database demonstrate that compared to
the state-of-the-art linear discrimination methods, our approach
obtains better classification performance. It can significantly improve
the recognition rates for face and palmprint data and effectively
reduce the dimension of feature space.|
|Rights: ||© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Type: ||Journal/Magazine Article|
|Appears in Collections:||COMP Journal/Magazine Articles|
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