Technical note compares PCA and LBP-PCA features for palmprint recognition, suggesting insights for improvement.
This technical research note documents preliminary experimental observations from an ongoing PhD research project on palmprint recognition. The work is derived from proposal-stage research activities involving ROI extraction, PCA-based feature representation, LBP-PCA feature representation, and Euclidean Distance classification. The report is shared for academic documentation and preliminary research dissemination. The research activity is related to the 2025 performance period, while this formal compilation and dissemination was completed in May 2026.
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Mas Elyna Azol (2025) studied this question.
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