Fingerprint Identification Using the Hybrid Thresholding and Edge detection for the Room Security

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.