MATLAB Implementation of Face Recognition Using BP Neural Network

This MATLAB source code implements face recognition using a Backpropagation (BP) Neural Network algorithm. Face recognition is a computer vision technique for identifying and verifying human faces, with applications spanning security systems, facial unlock mechanisms, and contactless payment verification. The implementation employs a multi-layer BP neural network architecture, where the training process involves forward propagation of input face features and backward error propagation for weight adjustments. Key functions include image preprocessing for feature extraction, neural network initialization with configurable hidden layers, and iterative training using gradient descent optimization. The algorithm handles pattern recognition and classification tasks by learning distinctive facial features through supervised training. By integrating this source code into your projects, you can develop an efficient and accurate face recognition system capable of processing facial data with optimized neural network parameters.