Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Abstract

The application of biometric recognition in personal authentication enables the growth of this technology to be employed in various domains. The implementation of biometric recognition systems can be based on physical or behavioral characteristics, such as the iris, voice, fingerprint, and face. Currently, the attendance tracking system based on biometric recognition for education sectors is still underutilized, thus providing a good opportunity to carry out interesting research in this area. As evidenced in a typical classroom, educators tend to take the attendance of their students by using conventional methods such as by calling out names or signing off an attendance sheet. Yet, these types of methods are proved to be time consuming and tedious, and sometimes, fraud occurs. As a result, significant progress had been made to mark attendance automatically by making use of biometric recognition. This progress enables a new and more advanced biometric-based attendance system being developed over the past ten years. The setting-up of biometric-based attendance systems requires both software and hardware components. Since the software and hardware sections are too broad to be discussed in one paper, this literature survey only provides an overview of the types of hardware used. Emphasis is then placed on the microcontroller platform, biometric sensor, communication channel, database storage, and other components in order to assist future researchers in designing the hardware part of biometric-based attendance systems.

The Impacts of Depth Camera and Multi-Sensors for Face and Fingerprint Recognition in 2D and 3D - A Case Study

“…Face information obtained can be 2D intensity picture shape, 3D brightness, and depth data displays, or IR (Infrared) [1]. A camera's crucial elements are lenses and image sensors [28]. Typically, the camera module converts light into electrical ions via the lens of the camera and then to a digital signal.…”

“…Furthermore, pixel sensitivity denotes the sensor's visual disturbances. A back-illuminated detector was created to improve depth perception by utilizing the contralateral silicon layer for a more efficient visible region [28].…”

Reconhecimento facial para validação de usuário durante um questionário no Moodle

“…A verificação e identificação biométrica são consideradas pelos avaliadores como extremamente relevantes nos exames em geral, a fim de garantir que ninguém se faça passar por outra pessoa no momento do exame (Hoo and Ibrahim, 2019). Esse recurso pode ser usado em todos os níveis de ensino e em todas as disciplinas que utilizam Sistemas de Gestão da Aprendizagem (SGA).…”

Multimodal access control system combining RFID, fingerprint and facial recognition

“…By definition, biometric is a biological measure of any human physiological or behavior characteristics that can be used to verify the identity of an individual [1]. An identification system based on biometrics operates in two modes, namely enrollment and authentication [2]. In enrollment mode, the biometric data of a user is acquired using a biometric reader and stored in a database, while in authentication mode, the biometric data of a user is acquired again, and the system uses this to verify the user's declared identity or identify his identity [3].…”