Multi-modal Biometric System for Face and Fingerprint using Convolutional Neural Network
Author:
Affiliation:
1. Jawaharlal Nehru Technological University,Department of ECE,Hyderabad,India
2. Malla Reddy University,Department of ECE,Hyderabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9708066/9708067/09708535.pdf?arnumber=9708535
Reference25 articles.
1. Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices
2. Person identification using fusion of iris and periocular deep features
3. Face–iris multimodal biometric scheme based on feature level fusion
4. System for multimodal biometric recognition based on finger knuckle and finger vein using feature‐level fusion and k‐support vector machine classifier
5. Multimodal biometric cryptosystem for human authentication using fingerprint and ear
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1. Authentication of multiple transaction using enhanced Elman spike neural network optimized with glowworm swarm optimization;Wireless Networks;2024-06-23
2. Feature Level Fusion of Face and Fingerprint Biometric Traits for Universality;2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS);2023-04-19
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