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Improve the Spoofing Resistance of Multimodal Verification with Representation-Based Measures

Huang, Zengxi, Feng, Zhenhua, Kittler, Josef and Liu, Yiguang (2018) Improve the Spoofing Resistance of Multimodal Verification with Representation-Based Measures In: Pattern Recognition and Computer Vision. PRCV 2018. Lecture Notes in Computer Science, 11258 . Springer, pp. 388-399. ISBN 978-3-030-03337-8 Online ISBN: 978-3-030-03338-5

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Recently, the security of multimodal verification has become a grow-ing concern since many fusion systems have been known to be easily deceived by partial spoof attacks, i.e. only a subset of modalities is spoofed. In this paper, we verify such a vulnerability and propose to use two representation-based met-rics to close this gap. Firstly, we use the collaborative representation fidelity with non-target subjects to measure the affinity of a query sample to the claimed client. We further consider sparse coding as a competing comparison among the client and the non-target subjects, and hence explore two sparsity-based measures for recognition. Last, we select the representation-based measure, and assemble its score and the affinity score of each modality to train a support vector machine classifier. Our experimental results on a chimeric multimodal database with face and ear traits demonstrate that in both regular verification and partial spoof at-tacks, the proposed method significant

Item Type: Book Section
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Huang, Zengxi
Liu, Yiguang
Editors :
Lai, Jian-Huang
Liu, Cheng-Lin
Chen, Xilin
Zhou, Jie
Tan, Tieniu
Zheng, Nanning
Zha, Hongbin
Date : 3 November 2018
Funders : EPSRC; EPSRC/dstl/MURI
Copyright Disclaimer : © Springer Nature Switzerland AG 2018
Uncontrolled Keywords : Multimodal Verification, Spoof Attacks, Representation-based Measure, Support Vector Machine.
Additional Information : First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III. Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11258)
Depositing User : Melanie Hughes
Date Deposited : 21 Nov 2018 09:55
Last Modified : 11 Dec 2018 11:24

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