Facial Recognition System Using Local Binary Pattern (LBP) Algorithm as a Tool in Curbing Agricultural Loan

Samaila Musa, Lawal Muhammad Jabaka, Abubakar Usman Mohammed, Mansur Mohammed
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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.
基于局部二值模式(LBP)算法的人脸识别系统抑制农业贷款
人脸识别(FR)技术可用于广泛的应用,如身份认证,访问控制和监控。在过去的二十年中,人们对人脸识别的兴趣和研究活动显著增加,在本研究中,使用局部二进制模式设计了一个系统,该系统将存储尼日利亚中央银行(CBN)锚定借款人贷款受益人的所有面孔。该系统将使用农民的面部二进制信息,并将二进制信息注入到恢复农民数据库中,从而不会向任何拖欠者提供多次贷款,并暴露其面部身份。锚定借款人方案的最后产出是在小农和信誉良好的大型加工商之间建立经济联系,以期增加农业产出和大大提高加工商的能力利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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