Volume 20, Issue 53, January - June, 2023

Neural networks based face recognition system for biometric security

Ashish Kumar Shukla¹, Archana Shukla², Raghvendra Singh³

¹Research Scholar, Nehru Gram Bharti University, Prayagraj, Uttar Pradesh, India
²Nehru Gram Bharti University, Prayagraj, Uttar Pradesh, India
³Uttar Pradesh Rajashri Tandon Open University, Prayagraj, Uttar Pradesh, India

ABSTRACT

Students' frequent attendance in class is crucial for performance evaluation and quality control in the current educational system. Calling names or signing documents are the traditional procedures used in the majority of institutions, both of which are time-consuming and unsafe. The automatic attendance management system is discussed in this article for convenience or data accuracy. However, in real time system fast and reliable face recognition systems are needed with fair amount of accuracy. This research describes a neural network-based principal component analysis facial recognition technique. The proposed approach uses inverse PCA for feature extraction and artificial neural networks for reconstruction to increase accuracy. The suggested methodology's key benefits are its greater accuracy (97%) and rapid processing.

Keywords: Face recognition, PCA, ANN

Indian Journal of Engineering, 2023, 20(53), e16ije1640

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DOI: https://doi.org/10.54905/disssi/v20i53/e16ije1640

Published: 25 May 2023