Feature Level Fusion of Face and Fingerprint Biometric Traits for Universality
Author:
Affiliation:
1. Vardhaman College of Engineering,Department of ECE,Shamshabad,Telangana
2. Vardhaman College of Engineering,Center for Advanced Computing Research Laboratory (C-ACRL),Department of ECE,Shamshabad,Telangana
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169132/10169913/10170487.pdf?arnumber=10170487
Reference14 articles.
1. Multi-modal Biometric System for Face and Fingerprint using Convolutional Neural Network
2. A feature extraction method for use with bimodal biometrics
3. A bimodal biometric verification system based on fingerprint and face
4. Multi-modal biometric: Bi- directional empirical mode decomposition with hilbert-hung transformation;gavisiddappa;International Journal of Advanced Computer Science and Applications (IJACSA),2019
5. New Authentication Model for Multimodal Biometrics Based on Shape Features Vectors
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