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Denoising and Inpainting On-Display Fingerprints Using a Novel Dilated Auto-encoder Network

For on-display fingerprint (ODF) sensors, inpainting and noise removal is an important step to achieve the subsequent fingerprint recognition algorithm. This paper presents four advanced CNNs to enhance and clarify the quality of ODF images. Moreover, the pragmatic ODF databases and thinned ground truths, GTs, are used for testing and similarity verification. Experiments show that our novel dilated autoencoder CNN makes the best of the ODF image quality performance and the training efficiency.