Face Anti-Spoofing Using Multi-Branch CNN

Nguyen Cong Tin, Bach Tung Pham, Thi Phuong Le, Tzu Chiang Tai, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

We propose a face classification system based on deep learning algorithm. This system is capable of distinguishing real and fake faces from RGB images taken by a normal camera. To do that, we have built a system composed of 4 parts: RGB image processing, HSV image processing, YCrCb image processing, and classification. In order to achieve optimal processing performance, we include encoder and decoder structure models, which eliminate unnecessary components and help the model focus only on the components it gives. Most importantly, this structure helps reduce the complexity of the model. In addition, we have applied a number of special tweaks to the training data. Experimental results indicate that our system gives very good results on the public database.

原文???core.languages.en_GB???
主出版物標題2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面170-173
頁數4
ISBN(電子)9789881476890
出版狀態已出版 - 2021
事件2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Tokyo, Japan
持續時間: 14 12月 202117 12月 2021

出版系列

名字2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings

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???event.eventtypes.event.conference???2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021
國家/地區Japan
城市Tokyo
期間14/12/2117/12/21

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