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.
Keywords :
fingerprint, Convolutional Neural Network, human identification, accuracy