Face Recognition with Convolutional Neural Networks for Enhanced Security

S. Nagendrudu, A. Sai Pavan, B. Sreekanth Rao, P. Narendra, S. Khaja Moinuddin, O. Surya Arjun

2025

Abstract

Convolutional neural networks (CNNs) have become an effective tool for face recognition in the domain of access control, surveillance and identity verification. They are well suited for extracting and learning large amounts of hierarchical facial features and performing accurate and robust recognition under various condition which include variation in lighting conditions, pose and occlusion. This work presents the implementation of a CNN-based face recognition system implementing deep learning architectures such as FaceNet or VGG-Face for feature extraction and classification. Incorporating the technology into biometric security frameworks, the proposed system improves authentication reliability, reduces risks of unauthorized access and provides real-time monitoring capabilities. This work represents an overview of the applications of CNNs in biometric security as well as a scalable and efficient approach to modern facial recognition systems.

Paper Citation

in Harvard Style

Nagendrudu S., Pavan A., Rao B., Narendra P., Moinuddin S. and Arjun O. (2025). Face Recognition with Convolutional Neural Networks for Enhanced Security. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 219-223. DOI: 10.5220/0013925500004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Nagendrudu and A. Pavan and B. Rao and P. Narendra and S. Moinuddin and O. Arjun},
title={Face Recognition with Convolutional Neural Networks for Enhanced Security},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={219-223},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013925500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Face Recognition with Convolutional Neural Networks for Enhanced Security
SN - 978-989-758-777-1
AU - Nagendrudu S.
AU - Pavan A.
AU - Rao B.
AU - Narendra P.
AU - Moinuddin S.
AU - Arjun O.
PY - 2025
SP - 219
EP - 223
DO - 10.5220/0013925500004919
PB - SciTePress