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Fingerprint sensors can be implemented for various purposes such as resident identity cards, door lockers, attendent machine, smartphone locks, biometric identification and forensics. In this paper, GT-511C3 fingerprint sensor recognition performance are evaluated using different orientation. The GT-511C3 is embbeded 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%. The result recognition performance of all orientation using the SmackFinger 3.0 algorithm are summarized in the paper. These results can later be used as recommendations for the best implementation of sensor module GT-511C3.