Fusing multiple deep features for face anti-spoofing

Yan Tang, Xing Wang, Xi Jia, Linlin Shen

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

With the growing deployment of face recognition system in recent years, face anti-spoofing has become increasingly important, due to the increasing number of spoofing attacks via printed photos or replayed videos. Motivated by the powerful representation ability of deep learning, in this paper we propose to use CNNs (Convolutional Neural Networks) to learn multiple deep features from different cues of the face images for anti-spoofing. We integrate temporal features, color based features and patch based local features for spoof detection. We evaluate our approach extensively on publicly available databases like CASIA FASD, REPLAY-MOBILE and OULU-NPU. The experimental results show that our approach can achieve much better performance than state-of-the-art methods. Specifically, 2.22% of EER (Equal Error Rate) on the CASIA FASD, 3.2% of ACER (Average Classification Error Rate) on the OULU-NPU (protocol 1) and 0.00% of ACER on the REPLAY-MOBILE database are achieved.

Original languageEnglish
Title of host publicationBiometric Recognition - 13th Chinese Conference, CCBR 2018, Proceedings
EditorsZhenan Sun, Shiguang Shan, Zhenhong Jia, Kurban Ubul, Jie Zhou, Jianjiang Feng, Zhenhua Guo, Yunhong Wang
PublisherSpringer Verlag
Pages321-330
Number of pages10
ISBN (Print)9783319979083
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event13th Chinese Conference on Biometric Recognition, CCBR 2018 - Urumchi, China
Duration: 11 Aug 201812 Aug 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10996 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Chinese Conference on Biometric Recognition, CCBR 2018
Country/TerritoryChina
CityUrumchi
Period11/08/1812/08/18

Keywords

  • Deep convolutional neural networks
  • Face anti-spoofing
  • Multiple features

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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