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An Improved Histogram-Based Features in Low-Frequency DCT Domain for Face Recognition
2015
International Journal of Machine Learning and Computing
Previously, we proposed an efficient algorithm for facial image recognition combined with vector quantization (VQ) histogram and energy histogram in low-frequency DCT domains. The former algorithm is essential for utilizing the phase information of DCT coefficients by applying binary vector quantization (BVQ) on DCT coefficient blocks. The latter algorithm, energy histogram can be considered to add magnitude information of DCT coefficients. These two histograms, which contain both phase and
doi:10.7763/ijmlc.2015.v5.542
fatcat:r7vbfwxwpzakvd6ektrpgefb7y