Neural Network-Based Fingerprint Matching and Human Recognition System


Authors : Ene Princewill Chigozie

Volume/Issue : Volume 7 - 2022, Issue 8 - August

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3KQcw1d

DOI : https://doi.org/10.5281/zenodo.7055816

Abstract : 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

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

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