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Benchmarking face morphing forgery detection: Application of stirtrace for impact simulation of different processing steps

  • We analyze StirTrace towards benchmarking face morphing forgeries and extending it by additional scaling functions for the face biometrics scenario. We benchmark a Benford's law based multi-compression-anomaly detection approach and acceptance rates of morphs for a face matcher to determine the impact of the processing on the quality of the forgeries. We use 2 different approaches for automatically creating 3940 images of morphed faces. Based on this data set, 86614 images are created usingWe analyze StirTrace towards benchmarking face morphing forgeries and extending it by additional scaling functions for the face biometrics scenario. We benchmark a Benford's law based multi-compression-anomaly detection approach and acceptance rates of morphs for a face matcher to determine the impact of the processing on the quality of the forgeries. We use 2 different approaches for automatically creating 3940 images of morphed faces. Based on this data set, 86614 images are created using StirTrace. A manual selection of 183 high quality morphs is used to derive tendencies based on the subjective forgery quality. Our results show that the anomaly detection seems to be able to detect anomalies in the morphing regions, the multi-compression-anomaly detection performance after the processing can be differentiated into good (e.g. cropping), partially critical (e.g. rotation) and critical results (e.g. additive noise). The influence of the processing on the biometric matcher is marginal.show moreshow less

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Metadaten
Author:Mario Hildebrandt, Tom Neubert, Andrey Makrushin, Jana Dittmann
URL:http://ieeexplore.ieee.org/document/7935087/
DOI:https://doi.org/10.1109/IWBF.2017.7935087
ISBN:978-1-5090-5791-7
Parent Title (English):Konferenz: 2017 5th International Workshop on Biometrics and Forensics (IWBF), 2017/ Titel: 2017 5th International Workshop on Biometrics and Forensics (IWBF)
Publisher:IEEE
Place of publication:Coventry, United Kingdom
Document Type:Conference Proceeding
Language:English
Year of Publishing:2017
Date of Publication (online):2024/02/13
Release Date:2024/02/14
Page Number:7
First Page:1
Last Page:6
Institutes:Fachbereich Informatik und Medien
University Bibliography:Hochschulbibliografie
Licence (German):Creative Commons - CC BY - Namensnennung 4.0
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