Face recognition FR is a technology in which a computing device either classifies human identity based on a facial image face identification or verifies whether two images belong to the same subject face verification. Over the last two decades, the FR research community has achieved remarkable performance when comparing images that are both frontal and non-occluded. However, significant challenges remain in the presence of variations in pose, expression, and occlusions. The goal of this thesis is to achieve statistically significant improvement in the performance of face recognition systems using 2D images that depict individuals with facial expressions and accessories.
Human Face Recognition Using Image Processing
Age, Gender, Expression Recognition Through Face Using Secure Deep Learning - ethesis
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Age, Gender, Expression Recognition Through Face Using Secure Deep Learning
You can perform fast, accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library. You may already know that OpenCV ships out-of-the-box with pre-trained Haar cascades that can be used for face detection…. To learn more about face detection with OpenCV and deep learning, just keep reading! Back in August , OpenCV 3.
The information age is quickly revolutionizing the way transactions are completed. Everyday actions are increasingly being handled electronically, instead of with pencil and paper or face to face. This growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts, and computer systems often use a PIN for identification and security clearances.