2019
DOI: 10.14569/ijacsa.2019.0100968
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A Novel Secure Fingerprint-based Authentication System for Student’s Examination System

Abstract: In the fingerprint image processing, various methods have been suggested as using band pass filter, Fouries transform filter and Fuzzy systems. In this paper, we present a useful and an applicable fingerprint security system for student's examination using image processing on such away and a wellorganized algorithm is applied. As a university team work, we have recently tested this security procedure for different samples of students in our institution. The experimental results show a high level of accuracy is… Show more

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Cited by 4 publications
(4 citation statements)
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“…A fingerprint reader's glass must be wiped clean for each student scanned. This study configured the fingerprint reader Adafruit R305 and Arduino libraries using the solution from [71] to match the fingerprint image to the examinee.…”
Section: B Training and Testing Datasetmentioning
confidence: 99%
See 1 more Smart Citation
“…A fingerprint reader's glass must be wiped clean for each student scanned. This study configured the fingerprint reader Adafruit R305 and Arduino libraries using the solution from [71] to match the fingerprint image to the examinee.…”
Section: B Training and Testing Datasetmentioning
confidence: 99%
“…Numerous researchers evaluate the biometric system and determine its quality based on various factors [71][72][73]. The essential aspects of a biometric system's quality investigation involve measuring its performance, accuracy, precision, recall, and execution time.…”
Section: Biometric Quality Metric Of Effectiveness Evaluation Criteriamentioning
confidence: 99%
“…Storing various poses like turning head down, turning head to the right, turning head to left, stretching the arms, quitting, and leaning back in the chair because the user may make movements during exam [4,15]. Take photos of students` faces and record them in a database for future comparison in the authentication process as in [7,24,25,26,27,28,29,30,31,32,33,34, C1, C2, C3].…”
Section: Face Featuresmentioning
confidence: 99%
“…Nowadays, although there are still some non-biometric based authentication approaches [20], the latest attempts for online student authentication automation tends to use biometric technologies; facial [21] [22] [23] [24] [25] [26], fingerprints [27] or typing [28], [29]. On the other hand, some approaches try some combination of them, such as face and voice [30] or face, voice and typing [31] [32].…”
Section: B Scientific and Academic Approaches 1) Technical Workmentioning
confidence: 99%