Implementation of Face Recognition on FPGA Using Haar Features and LBPH Algorithm
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V6I4P116Keywords:
FPGA, face recognition, LBPHAbstract
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
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References
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