@article{ART002062150},
author={이준혁},
title={An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2015},
volume={10},
number={6},
pages={735-743}
TY - JOUR
AU - 이준혁
TI - An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition
JO - Journal of Knowledge Information Technology and Systems
PY - 2015
VL - 10
IS - 6
PB - Korea Knowledge Information Technology Society
SP - 735
EP - 743
SN - 1975-7700
AB - In this paper, we designed and implemented an electronic attendance-absence recording system using automatic identification and data capture technology, and face recognition. AIDC(Automatic identification and data capture) techniques provide fast, easy and accurate data collection methods. AIDC methods in general do not require human involvement in order to capture data, these methods include technologies like: barcodes, biometrics, RFID(Radio Frequency IDenfitication), NFC(Near Field Communication) and others. It has recently introduced the electronic attendance-absence system using NFC core technologies of automatic identification of student and data collection technology in schools. NFC is a set of short-range wireless technologies, typically requiring a distance of 4cm or less to initiate a connection. NFC allows you to share small payloads of data between an NFC tag and an reader device. However, an electronic attendance-absence recording system using NFC can not prevent unauthorized attendance, and has disadvantages that limit the movement. In this paper, we implemented an electronic attendance-absence system with face recognition technology and NFC to prevent unauthorized attendance. The proposed system will increase the accuracy of this feature out to build a new database through learning not only to detect a student to take a photograph. In addition, it is possible to carry a smaller size by using a small devices that are raspberry pi and arduino.
KW - Automatic identification;Face recognition;NFC;Machine learning;Electronic Attendance-absence recording system
DO -
UR -
ER -
이준혁. (2015). An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition. Journal of Knowledge Information Technology and Systems, 10(6), 735-743.
이준혁. 2015, "An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition", Journal of Knowledge Information Technology and Systems, vol.10, no.6 pp.735-743.
이준혁 "An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition" Journal of Knowledge Information Technology and Systems 10.6 pp.735-743 (2015) : 735.
이준혁. An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition. 2015; 10(6), 735-743.
이준혁. "An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition" Journal of Knowledge Information Technology and Systems 10, no.6 (2015) : 735-743.
이준혁. An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition. Journal of Knowledge Information Technology and Systems, 10(6), 735-743.
이준혁. An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition. Journal of Knowledge Information Technology and Systems. 2015; 10(6) 735-743.
이준혁. An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition. 2015; 10(6), 735-743.
이준혁. "An Electronic Attendance-absence Recording System using AIDC(Automatic Identification and Data Capture) Technique and Face Recognition" Journal of Knowledge Information Technology and Systems 10, no.6 (2015) : 735-743.
