Fingerprint to Face Reconstruction Using Neural Network

Abstract

Determining a person’s identity is one of the most important challenges to address when constructing multi-accessible structures, such as computer apps, vehicles or actual buildings. A system that protects secret information or valuable objects places high-security expectations on identification. This project provides a novel paradigm for generating one biometric element from another based on neural artificial networks. An intelligent system was devised and created to assess the correlations between fingerprints and faces, as well as to prototype and increase the presence of relationships. It can be used in biometrics, information security, access control, law enforcement, smart cards, and surveillance systems, among other things.