Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{181509,
author = {Anshid Babu T M and Muhammed Haneesh K P},
title = {Face Recognition Using Convolutional Neural Networks},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {1},
pages = {4623-4628},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=181509},
abstract = {Reliable and precise facial identification is highly valuable in numerous law enforcement scenarios, including locating missing persons, tracking fugitives, monitoring suspicious individuals, and identifying unknown deceased individuals. To address these needs efficiently, we propose Original Face (Face Recognition) , a system that incorporates advanced algorithms like CNN for face detection and recognition. This system can be integrated with existing law enforcement databases, allowing it to utilize extensive data repositories for improved accuracy and performance. As more information is added, the system becomes increasingly robust and effective, providing faster and more reliable support for various investigative processes.},
keywords = {CNN (Convolutional neural network), Face Recognition.},
month = {June},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry