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Author: Manoranjan Mohanty

Affiliation: Center for Forensic Science, University of Technology Sydney, Australia

Keyword(s): PRNU, Source Camera Verification, Camera Fingerprint, Multi-camera Smartphones.

Abstract: The PRNU (Photo Response Non-Uniformity)-based source camera attribution is a useful method for verifying if a camera has taken an image (e.g., a crime image). Although this method has matured for images taken by single-camera smartphones, its usability is yet unknown for multi-camera smartphones. A multi-camera smartphone, such as iPhone XS or Huawei P20 Pro, combines output from a number of rear cameras for providing high-quality images. In this paper, we study the effectiveness of the PRNU-based method for a multi-camera smartphone using two simple approaches: (i) multi-fingerprint verification, and (ii) mixed fingerprint verification. In the verification process, the first approach uses fingerprint from each camera whereas the second approach uses a mixed-fingerprint that is obtained by averaging the fingerprints from all cameras. The experimental result shows that the proposed approaches are useful for some camera models. For some other camera models, a more sophisticated method , however, is required. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mohanty, M. (2022). Source Attribution of Modern Multi-camera Smartphones. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-563-0; ISSN 2795-4943, SciTePress, pages 219-225. DOI: 10.5220/0011102200003209

@conference{improve22,
author={Manoranjan Mohanty.},
title={Source Attribution of Modern Multi-camera Smartphones},
booktitle={Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2022},
pages={219-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011102200003209},
isbn={978-989-758-563-0},
issn={2795-4943},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE
TI - Source Attribution of Modern Multi-camera Smartphones
SN - 978-989-758-563-0
IS - 2795-4943
AU - Mohanty, M.
PY - 2022
SP - 219
EP - 225
DO - 10.5220/0011102200003209
PB - SciTePress