Multi-Modal Biometric Recognition for Face and Iris using Gradient Neural Network (Gen-NN)

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 rese...

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Bibliographic Details
Published inMATEC web of conferences Vol. 392; p. 1078
Main Authors Sai Satyanarayana Reddy, S., Bommala, Harikrishna, Sakthidharan, G.R., Ivanovich Vatin, Nikolai
Format Journal Article
LanguageEnglish
Published EDP Sciences 2024
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Summary: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.
ISSN:2261-236X
2261-236X
DOI:10.1051/matecconf/202439201078