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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

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Rotation, illumination invariant polynomial kernel Fisher discriminant analysis using Radon and discrete cosine transforms based features for face recognition
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A robust approach based on local feature extraction for age invariant face recognition
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Novel local feature extraction for age invariant face recognition
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Face recognition based on gradient gabor feature and Efficient Kernel Fisher analysis
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Deep-feature encoding-based discriminative model for age-invariant face recognition
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Circular sector DCT based feature extraction for enhanced face recognition using histogram based dynamic gamma intensity correction
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Kernel maximum scatter difference based feature extraction and its application to face recognition
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Analysis of Age Invariant Face Recognition using QSVM-PCA
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Astroid shaped DCT feature extraction for enhanced face recognition
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Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature
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