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Deep Learning for Hand Biometrics Analysis by deepika is a document available to read on EtoBox.

What is Deep Learning for Hand Biometrics Analysis about?

This research paper presents a deep biometric hash learning (DBHL) framework for three hand-based biometrics: palmprint, palm vein, and dorsal hand vein. The framework utilizes deep learning techniques to convert biometric images into binary codes and measures similarity through Hamming distance, achieving high accuracy with equal error rates of 0% for palmprint and palm vein, and 0.196% for dorsal hand vein. The study also provides a comprehensive comparison of these modalities, indicating that palmprint i

Author

deepika

Language

EN