| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01078 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/matecconf/202439201078 | |
| Published online | 18 March 2024 | |
Multi-Modal Biometric Recognition for Face and Iris using Gradient Neural Network (Gen-NN)
1 Department of CSE, KG Reddy College of Engineering & Technology, Moinabad, Hyderabad, Telangana, India
2 Department of CSE, GRIET, Hyderabad, Telangana, India
3 Lovely Professional University, Phagwara, Punjab, India.
* Corresponding author: saisn90@gmail.com
In recent years, Biometric system are the one, which is widely used method for the recognition and identification of an individual that are highly demanded approach for its absolute security and accuracy which plays a vital roles in banking, commercials, business and other fields. Moreover this research is based on the multimodal biometrics which is recommended for its high recognition performances and it overcome the demerits of unimodal biometric approach. This research concentrate two multi-modal biometric traits such as face and iris, and propose Gradient Neural Network (Gen-NN) method to improve the biometric authentication by using the VISA face and iris multi-modal biometric database also used ResNet-101 and WaveNet for the feature extraction where the input of face and iris can be extracted.
© The Authors, published by EDP Sciences, 2024
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