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In this paper, we propose an improved face recognition algorithm using quantized Discrete Cosine Transform (DCT) coefficients for facial image recognition.
Abstract—In this paper, we propose an improved face recognition algorithm using quantized Discrete Cosine. Transform (DCT) coefficients for facial image ...
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Abstract—In this paper, we propose an improved face recognition algorithm using histogram-based features in spatial and frequency domains.
An Improved Face Recognition Algorithm Using Quantized DCT Coefficients. Qiu Chen, Koji Kotani, Feifei Lee, Tadahiro Ohmi. An Improved Face Recognition ...
In this paper, we propose a novel algorithm using vector quantization (VQ) histogram for facial image recognition in DCT domain. Firstly, feature vectors of ...
Feb 6, 2020 · The authors propose an adaptive face recognition algorithm based on the discrete cosine transform (DCT) coefficients approach.
Abstract—Previously, we proposed an efficient algorithm for facial image recognition combined with vector quantization. (VQ) histogram and energy histogram ...
To enhance the image classification information and improve the recognition effect, here we propose a new simple method based on the entropy measure (which.
This paper uses patterns of quantized 4x4 DCT blocks for representing local picture information and shows that despite its simplicity, this approach ...
Jan 2, 2018 · In this paper, we propose a face recognition algorithm based on a combination of vector quantization (VQ) and Markov stationary features ...