Design and Development of Facial Recognitionbased Library Management System (FRLMS)

V. R. K. Rao, C. A. H. Puwakpitiyage, Dalia Abdulkareem Shafiq, Farhana Islam, D. Handayani, Hamwira Yacoob, T. Mantoro
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Abstract

In this paper we propose a facial recognitionbased library management system namely Facial Recognition based Library Management System (FRLMS). This system aims to improve the user experience on library authentication process through facial recognition algorithm. This process would be simple and efficient as the authentication process is performed seamlessly. For the purpose of this study, feature extraction and image classification are obtained using OpenCV and TensorFlow, where the average recognition accuracy reaches up to 92.15%.
基于人脸识别的图书馆管理系统(FRLMS)的设计与开发
本文提出了一种基于人脸识别的图书管理系统,即基于人脸识别的图书管理系统(FRLMS)。本系统旨在通过人脸识别算法改善图书馆认证过程中的用户体验。由于身份验证过程是无缝执行的,因此该过程简单而高效。本研究使用OpenCV和TensorFlow进行特征提取和图像分类,平均识别准确率达到92.15%。
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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