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Deep Learning in Biometric Recognition by jinhal4171 is a document available to read on EtoBox.

What is Deep Learning in Biometric Recognition about?

This thesis by Rig Das explores biometric recognition using deep learning techniques, focusing on physiological traits such as brain signals and finger vein patterns. It demonstrates the effectiveness of convolutional neural networks (CNNs) for feature extraction and individual identification, achieving high accuracy in various biometric systems. The research highlights the potential of EEG-based biometrics and proposes a CNN-based system for finger vein identification, showing significant improvements over

Author

jinhal4171

Language

EN