denkovarik/Fingerprint
Uses a GAN to enhance images of Fingerprints
This project enhances poor-quality or latent fingerprint images, which are often smudged or incomplete, into clear, usable images. It takes a raw, difficult-to-analyze fingerprint image as input and outputs a sharper, more detailed version that's easier to match. Fingerprint examiners, forensic scientists, or law enforcement personnel would use this to improve the accuracy of fingerprint identification.
Use this if you need to improve the clarity of degraded fingerprint images for more reliable analysis and matching.
Not ideal if you are working with high-quality, clear fingerprint images that do not require enhancement.
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Jupyter Notebook
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Last pushed
Jan 27, 2026
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