Samaila Musa, Lawal Muhammad Jabaka, Abubakar Usman Mohammed, Mansur Mohammed
{"title":"Facial Recognition System Using Local Binary Pattern (LBP) Algorithm as a Tool in Curbing Agricultural Loan","authors":"Samaila Musa, Lawal Muhammad Jabaka, Abubakar Usman Mohammed, Mansur Mohammed","doi":"10.57233/ijsgs.v8i4.361","DOIUrl":null,"url":null,"abstract":"Face recognition (FR) technology can be used in wide range of applications such as identity authentication, access control, and surveillance. Interests and research activities in face recognition have increased significantly over the past twenty years, in this research, local binary pattern was be used to design a system that will store all the faces of the Central Bank of Nigeria (CBN) anchor borrowers’ loan beneficiaries, the system will use farmers faces binary information and inject the binary information into the recovery farmers database so that no multiple loan will be given to any defaulter and their facial identity will be revealed. The final output of the anchor borrower programme(ABP) is to create economic linkage between smallholder farmers and reputable large-scale processors with a view to increasing agricultural output and significantly improving capacity utilization of processors.","PeriodicalId":332500,"journal":{"name":"International Journal of Science for Global Sustainability","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Science for Global Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.57233/ijsgs.v8i4.361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Face recognition (FR) technology can be used in wide range of applications such as identity authentication, access control, and surveillance. Interests and research activities in face recognition have increased significantly over the past twenty years, in this research, local binary pattern was be used to design a system that will store all the faces of the Central Bank of Nigeria (CBN) anchor borrowers’ loan beneficiaries, the system will use farmers faces binary information and inject the binary information into the recovery farmers database so that no multiple loan will be given to any defaulter and their facial identity will be revealed. The final output of the anchor borrower programme(ABP) is to create economic linkage between smallholder farmers and reputable large-scale processors with a view to increasing agricultural output and significantly improving capacity utilization of processors.