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This paper presents a novel finger vein recognition algorithm that utilizes centrosymmetric coding and does not require image segmentation, addressing issues of data redundancy and feature extraction accuracy. The proposed method divides finger vein images into blocks for mean value calculation, generating concise feature codewords that enhance recognition efficiency. Experimental results demonstrate that this approach outperforms existing methods, showcasing its effectiveness in finger vein matching tasks.

Author

NISHA JOY

Language

EN