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2018 | OriginalPaper | Chapter

Image-Based Object Spoofing Detection

Authors : Valter Costa, Armando Sousa, Ana Reis

Published in: Combinatorial Image Analysis

Publisher: Springer International Publishing

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Abstract

Using 2D images in authentication systems raises the question of spoof attacks: is it possible to deceive an authentication system using fake models possessing identical visual properties of the genuine one? In this work, an anti-spoofing method approach for a wine anti-counterfeiting system is presented. The proposed method relies in two different color spaces: CIE L*u*v* and $YC_rC_b$, to distinguish between a genuine instance and a spoof attack. To evaluate the proposed strategy, two databases were used: a private database, with photos/2D attacks of cork stoppers, created for this work; and the public Replay-Attack database that is used for face spoofing detection methods testing. The results on the private database show that the anti-spoofing approach is able to distinguish with high accuracy a real photo from an attack. Regarding the public database, the results were obtained with existing methods, as the best HTER results using a single frame approach.

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previous chapter Evaluation of Chaos Game Representation for Comparison of DNA Sequences

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Title: Image-Based Object Spoofing Detection
Authors: Valter Costa
Armando Sousa
Ana Reis
Publisher: Springer International Publishing
Book: Combinatorial Image Analysis
Print ISBN: 978-3-030-05287-4

Electronic ISBN: 978-3-030-05288-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-05288-1_15

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