| A hybrid color and frequency features method for face recognition. | |
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MedLine Citation:
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PMID: 18784044 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This correspondence presents a novel hybrid Color and Frequency Features (CFF) method for face recognition. The CFF method, which applies an Enhanced Fisher Model (EFM), extracts the complementary frequency features in a new hybrid color space for improving face recognition performance. The new color space, the RIQ color space, which combines the R component image of the RGB color space and the chromatic components I and Q of the YIQ color space, displays prominent capability for improving face recognition performance due to the complementary characteristics of its component images. The EFM then extracts the complementary features from the real part, the imaginary part, and the magnitude of the R image in the frequency domain. The complementary features are then fused by means of concatenation at the feature level to derive similarity scores for classification. The complementary feature extraction and feature level fusion procedure applies to the I and Q component images as well. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 show that i) the hybrid color space improves face recognition performance significantly, and ii) the complementary color and frequency features further improve face recognition performance. |
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Authors:
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Zhiming Liu; Chengjun Liu |
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Publication Detail:
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Type: Letter; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: 17 ISSN: 1057-7149 ISO Abbreviation: IEEE Trans Image Process Publication Date: 2008 Oct |
Date Detail:
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Created Date: 2008-09-11 Completed Date: 2008-10-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: United States |
Other Details:
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Languages: eng Pagination: 1975-80 Citation Subset: IM |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence* Biometry / methods* Color Colorimetry / methods* Face / anatomy & histology* Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity |
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