International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 5, October 2019, pp. 4364~4371 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i5.pp4364-4371  4364 Journal homepage: http://iaescore.com/journals/index.php/IJECE Web based fingerprint roll call attendance management system Ademola A, Somefun TE, Agbetuyi AF, Olufayo A. Department of Electrical and Information Engineering, Covenant University, Nigeria Article Info ABSTRACT Article history: Received Nov 18, 2018 Revised Apr 22, 2019 Accepted May 2, 2019 Managing people and keeping adequate record of the attendance for most of the tertiary institutions are difficult task. Moreover, the manual taking of attendance adds to the difficulty of this task because it is strenuous, time intensive and can easily be falsified. Meanwhile, With the advent of new technology, a new world of authentication and security has been created via biometrics. This work aims at improving Covenant Universities paper-based attendance by using biometrics, specifically fingerprint technology. It is a web application that works with a fingerprint reader from which the features of the student’s fingerprint are extracted during enrolment. This is also needed during the authentication phase which occurs during the roll call attendance in the halls of residence. It is implemented using PHP and MySQL. Keywords: Attendance Authentication Automation Biometric Fingerprint Web technologies Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Ademola A, Department of Electrical and Information Engineering, Covenant University, Canaan land, KM 10, Idiroko, Road, P.M.B. 1023, Ota, Ogun State, Nigeria. Email: ademola.abdulkareem@covenantuniversity.edu.ng 1. INTRODUCTION The use of fingerprint for monitoring attendance feature has been in existence for a while now, with valuable research being done using different methods. Among the methords are the arm 9 based intelligent ststem for biometric fingerprint attandace [1], fingerprint classification using Fuzzy-Neural network method that associate a given finger to one of the existing class [2], fingerprint algorithm method that used for the identification and recongnition of fingerprint [3], classification of parameter of fingerprint based on algorithm tlow method [4] etc. However, with the available variety of methods needed for fingerprint identification and recognition, current techniques have certain drawback in the accuracy and matching speed of the fingerprint mathing algorithm. Although these fingerprint classifications are relevant in many large-scale forensic applications, but are rarely used in biometric authentication [5]. Fingerprint-based identification is the most common and the most used biometric technique. It has been successfully deployed in various sectors and for various applications. For instance, banks have used it for registration and issuing of Bank Verification Numbers (BVN) to their customers; mobile network service providers also use it to register SIM cards for subscribers; it also finds application in security for both residential and commercial buildings. In India and other developed countries, the electronic voting machines based on finger print are being used generaaly for state elections since 1999 up to date [6]. According to (Dhanashree A. G.2011), attendance management system was meant to serve as a substitute for conventional attendance system to lessen the processing time and paper cost [7]. Moreover, attendance is being taken daily at workplaces and in schools in developing and developed countries and this has made attendance recording an interesting research area; This has led to the different development and implementation of the student attendance system using various methods. Attendance capture and recording plays a huge part in the academic success of students. Low attendance in class most times leads to underperformance by students [8, 9]. From a survey carried out in New York City state funded schools,