Skip to content

Camera Device Identification and the Effects of Underexposure

Published: 2023
Primary Author: Seth Pierre
Secondary Authors: Jennifer Newman (Major Professor)

Technology today allows a photograph from a digital camera to be matched with the camera that took it. However, the matching software was created over 10 years ago using data that is not necessarily representative of today’s data. The objective of this work is to look at the case where photographs that are acquired are underexposed. The data used for these experiments are taken from StegoAppDB, a forensic imaging database. We obtain the PRNU fingerprints of the cameras and test against fingerprints from other images. Using the peak to correlation energy (PCE) as a similarity metric, the image fingerprint and camera fingerprint are compared. A PCE score less than 60 signifies that the image did not originate from the camera — not a match; otherwise, it did. Error rates for auto-exposed and under-exposed images were based on these comparisons. Using a carefully curated data set of smartphone images, a PCE threshold of 60 results in a false positive rate of 5.86*10-3 when comparing autoexposure fingerprints to underexposure test images.

Related Resources

Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System

Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System

There currently are no shoe-scanning devices developed in the United States that can operate in a real-world, variable-weather environment in real-time. Forensics-focused groups, including the NIJ, expressed the need for…
A Quantitative Approach for Forensic Footwear Quality Assessment using Machine and Deep Learning

A Quantitative Approach for Forensic Footwear Quality Assessment using Machine and Deep Learning

Forensic footwear impressions play a crucial role in criminal investigations, assisting in possible suspect identification. The quality of an impression collected from a crime scene directly impacts the forensic information…
Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence

Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence

Quantitative assessment of pattern evidence is a challenging task, particularly in the context of forensic investigations where the accurate identification of sources and classification of items in evidence are critical.…
Computational Shoeprint Analysis for Forensic Science

Computational Shoeprint Analysis for Forensic Science

Shoeprints are a common type of evidence found at crime scenes and are regularly used in forensic investigations. However, their utility is limited by the lack of reference footwear databases…