ITM Web Conf.
Volume 32, 2020International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|Number of page(s)||6|
|Published online||29 July 2020|
- Radhika C.Damale, Prof.Bageshree.V.Pathak. ”Face Recognition Based Attendance System Using Machine Learning Algorithms.” Proceedings of the Second International Conference on Intelligent Computing and Control Systems (ICICCS 2018) IEEE Xplore Compliant Part Number: CFP18K74-ART; ISBN:978-1-5386-2842-3. IEEE 2018 [Google Scholar]
- Omar Abdul, Rhman Salim, Rashidah Funke Olan-rewaju, Wasiu Adebayo Balogun. “ Class Attendance Management System Using Face Recognition.” 2018 7th International Conference on Computer and Communication Engineering (ICCCE) IEEE 2018. [Google Scholar]
- Adrian Rhesa Septian Siswanto, Anto Satriyo Nu-groho, Maulahikmah Galinium. “Implementation of Face Recognition Algorithm for Biometrics Based Time Attendance System” Center for Information Communication Technology Agency for the Assessment Application of Technology (PTIK-BPPT) Teknologi 3 BId., 3F, PUSPIPTEK Serpong, Tangerang, INDONESIA, 15314. [Google Scholar]
- Jinsu Kim, Usman Cheema, Seungbin Moon. “,Face Recognition Enhancement by Employing Facial Component Classification and Reducing the Candidate Gallery Set. Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea (email@example.com). [Google Scholar]
- Nusrat Mubin Ara, Nishikanto Sarkar Simul, Md. Saiful Islam.” “Convolutional Neural Network(CNN) Approach for Vision Based Student Recognition System.” 2017 20th International Conference of Computer and Information Technology (ICCIT), 22-24 December, 2017. [Google Scholar]
- Xinxiong Liu, Wanru Wang “User Centered Design of Attendance Record System Based on Mobile Terminals” 2017 International Symposium on Computer Science and Intelligent Controls. [Google Scholar]
- Turgut Özseven, Muharrem Düenci “Face Recognition by Distance and Slope between Facial Landmarks” Gaziosmanpaúa University Turkey, Tokat; Karabuk University, Turkey, Karabük. [Google Scholar]
- Savitra Paharekari, Chaitali Jadhav, Surabhi Ni-langekar, Jitesh Padwal “Automated Attendance System in College Using Face Recognition and NFC”International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320-088X IMPACT FACTOR: 6.017 IJCSMC, Vol. 6, Issue. 6, June 2017, pg.14-21 [Google Scholar]
- Rekha.E, Dr. Ramaprasad. P “An Efficient Automated Attendance Management System based on Eigen Face Recognition” Department of Electrical Engineering, Amity University, Dubai UAE [Google Scholar]
- Shu Zhan Toru Kuriharak, Shigeru Ando “Facial Authentication System Based on Real-Time 3D Facial Imaging By Using Correlation Image Sensor” School of Computer and Information Department of Information Physics and Computing Hefei University of Technology The University of Tokyo Hefei, Anhui, 230009, China 7-3-1 Bunkyo-Ku, Tokyo 113-8656, Japan firstname.lastname@example.org, bond, email@example.com [Google Scholar]
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