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Measurement: Sensors: Samiya Shakil, Deepak Arora, Taskeen Zaidi by NISHA JOY is a document available to read on EtoBox.

This research presents an advanced biometric technique for finger vein identification using supervised learning methods, specifically PCA for feature extraction and SVM for classification. The study utilizes three publicly available datasets and demonstrates the effectiveness of the proposed framework, achieving high recognition rates compared to existing methods. The findings indicate that the proposed approach offers a robust solution for personal identification, addressing issues related to traditional b

Author

NISHA JOY

Language

EN