Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal IJISCS (International Journal Of Information System and Computer Science) IJISCS (International Journal of Information System and Computer Science)
Dominique Ilunga N’kashama
Higher Institute of Arts and Crafts, Mbuji-Mayi
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
COMPARATIVE STUDIES BETWEEN A FACIAL RECOGNITION SYSTEM AND A FINGERPRINT RECOGNITION SYSTEM FOR ACCESS CONTROL Bopatriciat Boluma Mangata; Dominique Ilunga N’kashama; Parfum Bukanga Christian; Donatien Kadima Muamba
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 2 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i2.1237

Abstract

This paper investigates the decisions made on two singles modal biometric systems based on facial recognition and fingerprints for access control. In order to carry out this study on the access control system based on fingerprint and facial recognition, we made biometric recognition systems based on fingerprints and facial recognition that interacts with an embedded system under Arduino to give us the possibility to assemble the performances of programming and electronics, more precisely, we programmed electronic systems for the automatic opening of doors without the action of a human being. In a sample of one hundred individuals composed of 40 females and 60 males, 75 of whom were enrolled and 25 of whom were not, our two singles modal access control systems each obtained the following results: 70 true positives, 5 false negatives, 8 false positives and 17 true negatives for the facial recognition system, compared to 73 true positives, 2 false negatives, 4 false positives and 21 true negatives for the fingerprint recognition system, which constitute our confusion matrix. From all the tests carried out, we can say that the decisions made by the fingerprint recognition system are better than the decisions made by the facial recognition system.
COMPARATIVE STUDIES BETWEEN A FACIAL RECOGNITION SYSTEM AND A FINGERPRINT RECOGNITION SYSTEM FOR ACCESS CONTROL Bopatriciat Boluma Mangata; Dominique Ilunga N’kashama; Parfum Bukanga Christian; Donatien Kadima Muamba
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 2 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i2.1237

Abstract

This paper investigates the decisions made on two singles modal biometric systems based on facial recognition and fingerprints for access control. In order to carry out this study on the access control system based on fingerprint and facial recognition, we made biometric recognition systems based on fingerprints and facial recognition that interacts with an embedded system under Arduino to give us the possibility to assemble the performances of programming and electronics, more precisely, we programmed electronic systems for the automatic opening of doors without the action of a human being. In a sample of one hundred individuals composed of 40 females and 60 males, 75 of whom were enrolled and 25 of whom were not, our two singles modal access control systems each obtained the following results: 70 true positives, 5 false negatives, 8 false positives and 17 true negatives for the facial recognition system, compared to 73 true positives, 2 false negatives, 4 false positives and 21 true negatives for the fingerprint recognition system, which constitute our confusion matrix. From all the tests carried out, we can say that the decisions made by the fingerprint recognition system are better than the decisions made by the facial recognition system.
Co-Authors Bopatriciat Boluma Mangata Donatien Kadima Muamba Parfum Bukanga Christian