2020年12月
Face Authentication for E-testing Using Sequential Reference Update
Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2020)
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プレプリント・著者最終稿
回数 : 15
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- 開始ページ
- 307
- 終了ページ
- 310
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/TALE48869.2020.9368354
- 出版者・発行元
- Institute of Electrical and Electronics Engineers
In an e-testing system, spoofing may occur if the teacher is unable to see examinees during tests. We examined variations in facial images captured by a webcam during e-testing with the aim of detecting impersonation. In previous work, we proposed an authentication method based on updating an examinee’s facial images, which is limited to VOD-based e-learning. We thus optimized its application to e-testing in this paper. Our findings indicate that the proposed method improves authentication accuracy.
- リンク情報
- ID情報
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- DOI : 10.1109/TALE48869.2020.9368354