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Design and development of facial recognitionbased library management system (FRLMS)

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 e...

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Main Authors: Rao, Vegnish Rao Paramesura, Puwakpitiyage, Chamode Anjana Hewawasam, Abdulkareem Shafiq, Dalia, Islam, Farhana, Handayani, Dini Oktarina Dwi, Yaacob, Hamwira Sakti, Mantoro, Teddy
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:
TK7885 Computer engineering
Z665 Library Science. Information Science
Online Access:http://irep.iium.edu.my/79715/1/79715_Design%20and%20development%20of%20facial_article_conf.%20article.pdf
http://irep.iium.edu.my/79715/2/79715_Design%20and%20development%20of%20facial_scopus.pdf
http://irep.iium.edu.my/79715/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8691086
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spelling my.iium.irep.797152020-07-15T00:35:45Z http://irep.iium.edu.my/79715/ Design and development of facial recognitionbased library management system (FRLMS) Rao, Vegnish Rao Paramesura Puwakpitiyage, Chamode Anjana Hewawasam Abdulkareem Shafiq, Dalia Islam, Farhana Handayani, Dini Oktarina Dwi Yaacob, Hamwira Sakti Mantoro, Teddy TK7885 Computer engineering Z665 Library Science. Information Science 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% Institute of Electrical and Electronics Engineers Inc. 2019-04-12 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/79715/1/79715_Design%20and%20development%20of%20facial_article_conf.%20article.pdf application/pdf en http://irep.iium.edu.my/79715/2/79715_Design%20and%20development%20of%20facial_scopus.pdf Rao, Vegnish Rao Paramesura and Puwakpitiyage, Chamode Anjana Hewawasam and Abdulkareem Shafiq, Dalia and Islam, Farhana and Handayani, Dini Oktarina Dwi and Yaacob, Hamwira Sakti and Mantoro, Teddy (2019) Design and development of facial recognitionbased library management system (FRLMS). In: "4th International Conference on Computing, Engineering, and Design, ICCED 2018", 6 - 8 Sept 2018, Asian Institute of Technology (AIT)Bangkok; Thailand. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8691086 10.1109/ICCED.2018.00032
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK7885 Computer engineering
Z665 Library Science. Information Science
spellingShingle TK7885 Computer engineering
Z665 Library Science. Information Science
Rao, Vegnish Rao Paramesura
Puwakpitiyage, Chamode Anjana Hewawasam
Abdulkareem Shafiq, Dalia
Islam, Farhana
Handayani, Dini Oktarina Dwi
Yaacob, Hamwira Sakti
Mantoro, Teddy
Design and development of facial recognitionbased library management system (FRLMS)
description 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%
format Conference or Workshop Item
author Rao, Vegnish Rao Paramesura
Puwakpitiyage, Chamode Anjana Hewawasam
Abdulkareem Shafiq, Dalia
Islam, Farhana
Handayani, Dini Oktarina Dwi
Yaacob, Hamwira Sakti
Mantoro, Teddy
author_facet Rao, Vegnish Rao Paramesura
Puwakpitiyage, Chamode Anjana Hewawasam
Abdulkareem Shafiq, Dalia
Islam, Farhana
Handayani, Dini Oktarina Dwi
Yaacob, Hamwira Sakti
Mantoro, Teddy
author_sort Rao, Vegnish Rao Paramesura
title Design and development of facial recognitionbased library management system (FRLMS)
title_short Design and development of facial recognitionbased library management system (FRLMS)
title_full Design and development of facial recognitionbased library management system (FRLMS)
title_fullStr Design and development of facial recognitionbased library management system (FRLMS)
title_full_unstemmed Design and development of facial recognitionbased library management system (FRLMS)
title_sort design and development of facial recognitionbased library management system (frlms)
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url http://irep.iium.edu.my/79715/1/79715_Design%20and%20development%20of%20facial_article_conf.%20article.pdf
http://irep.iium.edu.my/79715/2/79715_Design%20and%20development%20of%20facial_scopus.pdf
http://irep.iium.edu.my/79715/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8691086
_version_ 1672610176543227904
score 13.223943

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