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Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis |
Journal of Information Processing Systems. 2016;12(3):392-409. Published online 2016 September 30 DOI: https://doi.org/10.3745/JIPS.02.0043 |
Rotation, illumination invariant polynomial kernel Fisher discriminant analysis using Radon and discrete cosine transforms based features for face recognition A robust approach based on local feature extraction for age invariant face recognition Novel local feature extraction for age invariant face recognition Face recognition based on gradient gabor feature and Efficient Kernel Fisher analysis Deep-feature encoding-based discriminative model for age-invariant face recognition Circular sector DCT based feature extraction for enhanced face recognition using histogram based dynamic gamma intensity correction Kernel maximum scatter difference based feature extraction and its application to face recognition Analysis of Age Invariant Face Recognition using QSVM-PCA Astroid shaped DCT feature extraction for enhanced face recognition Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature |
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