Perfect histogram matching PCA for face recognition

DOI10.1007/S11045-009-0099-YzbMath1198.94034OpenAlexW2078374251MaRDI QIDQ600871

Sumit K. Garg

Publication date: 3 November 2010

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-009-0099-y

zbMATH Keywords

principal component analysisface recognitionhistogram matching

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• Yale Face

Cites Work

• Unnamed Item
• Two-dimensional Laplacianfaces method for face recognition
• Towards a theoretical foundation for Laplacian-based manifold methods
• A novel hybrid approach based on sub-pattern technique and whitened PCA for face recognition
• 10.1162/153244304322972667
• Enconding and recognition of faces based on the human visual model and DCT
• A multiple hyper-ellipsoidal subclass model for an evolutionary classifier

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