In this paper, we present a parallel architecture for fast and robust face detection implemented on FPGA hardware. We propose the first implementation that meets both real-time requirements in an ...

Automated attendance system using face recognition, built with Python, OpenCV, and Tkinter. Captures, trains, and tracks attendance seamlessly with real-time updates and CSV integration. python opencv ...

The micro-Doppler foreground and noise background centers using image corner detection are first estimated. Using the two centers as starting points, the micro-Doppler signature extraction is ...

Face recognition process can be used for individual verification and identification. Generating an image that can be used for identification, manipulation, modeling, pattern recognition, and object ...