This document presents a biometric fusion system based on face and fingerprint recognition using artificial neural networks. The system first applies pre-processing to input images. It then extracts features from faces using extended local binary patterns and from fingerprints using minutia extraction. A genetic algorithm is used to optimize the extracted features. An artificial neural network is trained on the optimized features to classify images. The system fuses the face and fingerprint recognition results. Performance is evaluated based on false acceptance rate, false rejection rate and accuracy, with the proposed system achieving over 94% accuracy.