Abstract
Abstract
The purpose of this research is evaluating GT-511C3 fingerprint sensor recognition performance using different orientation. The GT-511C3 is embedded fingerprint sensor which has an increased memory capacity up to 200 different fingerprints. The module is small and easy to mount using two mounting tabs on the side of the sensor and have False Acceptance Rate (FAR) < 0.001% and False Rejection Rate (FRR) < 0.1%. Based on the test results, the GT-511C3 sensor has high recognition performance for all orientation testing scenarios, using five fingerprints as test objects, all fingerprints are able to be recognized in all orientations (0°, 90°, 180° and 270°) quickly (515-750ms). These results can later be used as recommendations for the best implementation of sensor module GT-511C3.
Reference14 articles.
1. Desain Dan Implementasi Sistem Absensi Mahasiswa Menggunakan Fingerprint Berbasis Mikrokontroler;Prini;Jurnal Teknik,2018
2. FingerScanner: Embedding a Fingerprint Scanner in a Raspberry Pi;Sapes;Sensors,2016
3. Fingerprint Scanner Hookup Guide - learn;Chan,2019
4. Memahami False Match & False Non Match;Nugroho,2013
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