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Vol.9, No.4, November 2020. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Fingerprint Identification Using the Hybrid Thresholding and Edge detection for the Room Security
Sumijan Sumijan, Syafri Arlis, Pradani Ayu Widya Purnama
© 2020 Sumijan Sumijan, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 9, Issue 4, Pages 1396-1400, ISSN 2217-8309, DOI: 10.18421/TEM94-10, November 2020.
Received: 20 June 2020. Revised: 25 October 2020.
Abstract:
Biometric technology is an electronic device that scans body parts for security systems using passwords, thus making the biometric system a better choice of a secret room security system. This study combines the hybrid thresholding method and Edge detection to identify fingerprint self-image, to determine the level of similarity of fingerprint images in the database with the fingerprint image of the test. Hybrid thresholding Laplacian of Gaussian and Otsu to get the result of separation between background and object, to identify the fingerprint canny method, the percentage of fingerprint identification results of an average similarity level: 87.94%. The calculation results show a very high degree of accuracy.
Keywords –Fingerprints, Secret rooms, Laplacian of Gaussian and Otsu, Canny, Identification. |
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