aspg-3-3169-1791943540 20261014020540 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2025 17 1 Faqeda Hassen Kareem College of Science for Women, University of Babylon, Iraq Mohammed Abdullah Naser College of Science for Women, University of Babylon, Iraq Face detection is important in computer vision and image processing, particularly in surveillance, security systems, video analytics, and facial recognition applications. However, face detection algorithms face challenges like position variations, lighting fluctuations, size and resolution differences, facial expressions, and background clutter. This research aims to develop a system that achieves high accuracy in detecting and localizing faces using local descriptors and spatial feature extraction techniques, specifically the Histogram of Oriented Gradients method (HOG). Using videos from the YouTube Face database, features were extracted from frames and trained using a convolutional neural network (CNN). The HOG technique achieved a 94% accuracy rate and good localization compared to CNN without feature extraction. 2025 229 237 3169 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.170117 https://americaspg.com/journal/3/article/3169 https://americaspg.com/storage/21724359185.pdf