Pajkovski, Darko and Veljanovska, Kostandina and Kotevski, Zoran and Rendevski, Nikola (2025) Implementation of Face Recognition on FPGA Using Haar Features and LBPH Algorithm. International Journal of Emerging Trends in Computer Science and Information Technology. ISSN 3050-9246
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Abstract
Face recognition technology has wide usage in
applications such as surveillance, biometrics, and security.
In this paper, we introduce a complete real-time face
recognition system that is implemented on an FPGA and
consists of face detection and recognition modules. The
face recognition system is divided in two modules: training
module and evaluating module. Then, the Local Binary
Patterns Histogram (LBPH) extracts facial features from
the detected faces in the live stream. Recognition is then
performed by applying a Euclidean distance classifier to
recognize and match the faces.
| Item Type: | Article |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | MSc Darko Pajkovski |
| Date Deposited: | 08 Jan 2026 14:30 |
| Last Modified: | 08 Jan 2026 14:30 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11319 |
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