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Fingerprint Detection using CNN

For biometric recognition, fingerprints are often used. Spoofing attacks based on a synthetic fingerprint, on the other hand, are frequent. We present in this research a method for detecting fingerprints that employ guided filtering and hybrid image analysis. When examining a denoised image, the problem of neglecting the contribution of sharp features is addressed in this study. The method described in this project uses the increased sharp features as well as the denoised features from the hybrid images to get better outcomes. Keywords: Hybrid image analysis, Guided filtering, Convolutional Neural Networks.