An Enhanced Fingerprint Recognition Technique using Machine Learning Approach: International conference on Recent Trends in Artificial Intelligence, IOT, Smart Cities & Applications (ICAISC-2020)
Sayan Datta, Payel Mandal, Saswata Das, Mohammed Talha Akhtar, Saptarshi Mitra, Bappaditya Jana, Jayanta Poray · SSRN Electronic Journal · 2020
Biometric authentication means the verification of individuals based on their physiological and behavioral properties. Biometric technology is now widely used for different purposes of personal authentication in many applications. The fingerprint recognition technology is one of the best known biometric technologies because of its consistency and its uniqueness in life Fingerprint have become an essential biometric trait due to its uniqueness and invariant to every individual. This biometric modality is more used and acceptable by the users due to acquiring device is comparatively small. In this paper, we try to use a novel model, the depth neural network, for traditional fingerprint classification problem. By the unsupervised feature self-taught learning, a good lowdimensional representation of the input data is obtained.