Image Input: User uploads or captures an image. Face Detection (MTCNN): The MTCNN detects facial regions and extracts bounding boxes with five key facial landmarks (eyes, nose, mouth corners). Face ...
Abstract: Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments. Poor ...
This project demonstrates a real-time face detection system built using Python and OpenCV. It captures live video from your webcam, processes each frame, and detects human faces using the Haar Cascade ...
Abstract: This paper presents a decision-aid framework for face authentication detection that integrates ResNext50 with Bidirectional Long Short-Term Memory (BiLSTM) networks to enhance media ...
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