HIGH PERFORMANCE FACIAL RECOGNITION MATCHER

نویسندگان

چکیده

The utilization of biometric products is an expanding landscape; from general consumers employing it for authenticating into their devices to governments deploying at the forefront crime and border control. One sizeable organization required expansion in offering within industryThis study aims develop a facial matching solution that offers high performance meets requirements organization’s Subject Matter Experts order meet current gap offering. A recognition approach known as FaceNet was utilized along with GO language MongoDB produce application capable performing enrolments matches against persistent set candidates. This validated labeled Faces Wild dataset, challenging data function, performance, accuracy testing. For subset 6000 images 100 % recorded multiple test runs demonstrating no false matches. application's this averaged over executions using two concurrent connections, which concluded average enroll response time 70ms 236ms match requests giving transactions per second values 29 8 respectively.

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ژورنال

عنوان ژورنال: Mu?la journal of science and technology

سال: 2023

ISSN: ['2149-3596']

DOI: https://doi.org/10.22531/muglajsci.1218915