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[
Mathimatics-Numerical algorithms
]
DCT
DL : 0
用DCT进行人脸识别,用MATLAB实现-Using DCT for Face Recognition using MATLAB realize
Update
: 2025-02-17
Size
: 75kb
Publisher
:
李晋博
[
Graph Recognize
]
dctannprotected
DL : 0
High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
Update
: 2025-02-17
Size
: 25kb
Publisher
:
mhm
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