Neural Network-Based Fingerprint Matching and Human Recognition System
Ene Princewill Chigozie · Zenodo (CERN European Organization for Nuclear Research) · 2022
This research presents a neural networkbased fingerprint matching and human recognition system. The methods used are data collection, data processing, data extraction, and convolutional neural network (CNN). The CNN was adopted and used to develop the human identification system based on objectoriented methodology and then implemented with Simulink. The result when tested showed that the new system was able to verify humans with the fingerprint at 90% accuracy.