Enhanced Face Recognition Algorithm for Real-Time Applications with Improved Accuracy

Raji Pandurangan, Lavanya C, Swetha C

2025

Abstract

Encouraging the development of safe and effective face recognition systems in applications such as surveillance, access control, and identity verification, developing accurate and reliable algorithms has become a significant focus in computer vision. Traditional methods like Dense U-Nets, Retina Face, and Hierarchical Networks provide satisfactory results but often fall short in balancing accuracy, precision, sensitivity, and specificity, especially in real-time scenarios. To address these limitations, we propose an enhanced face recognition algorithm that leverages improved feature extraction and optimized classification techniques. Our proposed method was evaluated alongside existing algorithms, achieving superior performance achieving an overall accuracy of 89.50% while also achieving superior values for specificity, sensitivity, and precision. These results demonstrate the method's effectiveness and suitability for high-stakes applications where reliability is paramount. Future work will focus on adapting the model for diverse conditions such as lowlight and multi-angle environments to further improve robustness.

Paper Citation

in Harvard Style

Pandurangan R., C L. and C S. (2025). Enhanced Face Recognition Algorithm for Real-Time Applications with Improved Accuracy. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 214-219. DOI: 10.5220/0013612400004664

in Bibtex Style

@conference{incoft25,
author={Raji Pandurangan and Lavanya C and Swetha C},
title={Enhanced Face Recognition Algorithm for Real-Time Applications with Improved Accuracy},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={214-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013612400004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Enhanced Face Recognition Algorithm for Real-Time Applications with Improved Accuracy
SN - 978-989-758-763-4
AU - Pandurangan R.
AU - C L.
AU - C S.
PY - 2025
SP - 214
EP - 219
DO - 10.5220/0013612400004664
PB - SciTePress