Omoniyi Akintunde Ojo1, Aluko Augustine Oli2, Aworetan Fayowole Ayanfe3, Oloruntegbe Ayomitan Busola4, Owa Victor Korede5, Oladimeji Banji Julus6
This paper provides a less rigorous pensioner screening exercise by using remote sensing protocol for pensioners screening process. In Nigeria, pensioners are faced with several challenges such as long queue during periodic routing exercise to asserting existing pensioners, long distance traveling to be physically presence at screening centers, identity masquerading, bribery of staff to changing self-information, possible out breaking communicable diseases due to overcrowding among others are regular recurrent pensioners’ experiences under the current pension screening process. In solving these challenges, a remote sensing protocol for verification and authentication management system for pensioners was developed using Ada Boost, Local Binary Pattern, cascade classifier, Haar-like feature, and Principal Component Analysis and facial image pre-processing. In resolving these challenges, a remote sensing facial biometrics techniques by introducing mobile application facial image capturing methodology for real time feature mapping and secured transferred protocols of pensioners’ information sharing, verification and authentication which only accept real time images and information from identified pensioners only, confirm life picture, and generate reports for actions on pensioners’ periodic emoluments. These algorithms were used to extract, detect, verify and authenticate individual’s facial identity who are alive. The system developed on three tiers architecture, the mobile tier where individuals’ facial images are captured and sent to the system gateway in real time using android studio mobile editor. The system gateway was developed within Microsoft dot-net framework to processes such image and report stored at the system database where monthly pension emoluments are generated for payment to only living pensioners.
https://doi.org/10.62226/ijarst20231126
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Omoniyi Akintunde Ojo1, Aluko Augustine Oli2, Aworetan Fayowole Ayanfe3, Oloruntegbe Ayomitan Busola4, Owa Victor Korede5, Oladimeji Banji Julus6 | Remote Sensing Protocol for Verification and Authentication Management System for Pensioners (RSPVAMSP) | DOI : https://doi.org/10.62226/ijarst20231126
Journal Frequency: | ISSN 2320-1126, Monthly | |
Paper Submission: | Throughout the month | |
Acceptance Notification: | Within 6 days | |
Subject Areas: | Engineering, Science & Technology | |
Publishing Model: | Open Access | |
Publication Fee: | USD 60 USD 50 | |
Publication Impact Factor: | 6.76 | |
Certificate Delivery: | Digital |