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This thesis investigated the use of convolutional neural networks (CNNs) for image restoration of fingerprint images, focusing on the reconstruction from raw sensor images to denoised fingerprint images, suitable for matching. Fingerprint images from sensors often introduce noise and artifacts that inhibit the matching process. The goal was to develop a CNN-based approach capable of removing artif
