Open AccessFingerprint Detection using CNN
Author(s) -
K. Abhijith Saralaya,
T Prasanna Lakshmi,
Sudeepthi Devasari,
R Rajini,
Srigiri Shree Puruhoothi
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem11836
Subject(s) - artificial intelligence , computer science , biometrics , spoofing attack , fingerprint (computing) , pattern recognition (psychology) , convolutional neural network , image (mathematics) , computer vision , fingerprint recognition , computer security
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.