Automated Library Management System using Face Recognition and OCR
Malhar Bangdiwala, Sakshi Mahadik, Yashvi Mehta, Abhijeet Salunke, Rita Das · 2023
Traditional methods of managing a library have their disadvantages like long waiting queues and expensive scanner machines. This paper aims to overcome these drawbacks by introducing a new application that makes use of face and text recognition to issue books from the library. The main idea is that a picture of the book with the issuer will be taken from which the required data will be extracted. The account of the user will be created by the library admin by uploading a picture of the face of the user. The application consists of two types of logins - user and admin, where administrators can keep track of user transactions and history. The face recognition algorithm and book recognition algorithm gave an overall accuracy of 99.43% and 82.5% respectively. The user can also see the information related to books and this information is extracted from a third-party API. Further, easy payment and reissue options for the books on the application have also been implemented.