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Real-Time Disguised Face Recognition by jayanthumesh07 is a document available to read on EtoBox.

The document presents a novel supervised learning methodology for real-time disguised face recognition using a deep learning architecture that combines a convolutional neural network (CNN) for key-point detection and a support vector machine (SVM) for classification. The proposed system achieves a key-point prediction accuracy of 65% and a classification rate of 72.4%, operating at 19 frames per second. This approach addresses the challenges of identifying masked faces in various conditions, highlighting th

Author

jayanthumesh07

Language

EN