Which image metadata fields can help identify the camera or creator?

Asked 5/10/2017

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2 answers

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I’m building software to flag images that may have false attribution. I want to compare photos in a batch and look for metadata that can link them to the same camera/device or suggest they came from different sources.

Beyond obvious fields like Author and camera Make/Model, which EXIF or other metadata fields are useful for identifying the device or creator? In particular, I’m interested in fields that may be unique enough to correlate images from the same camera, lens, or workflow, including anything stored outside standard EXIF.

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

9y ago

2 Answers

2

A few things to think about.

  • If you aren't limited to Exif, don't be. IPTC/XMP may contain additional fields.
  • You may be able to use information that identifies the camera (eg. serial number) to correlate images from the same device, as that strongly suggests the same author.
  • Some cameras store fairly detailed information about the lens too. Two images with matching lens data are more likely to come from the same author.

Much of this extra stuff is in the makernote, so you'll need a tool that can get that out for you too. What software are you using? If you're coding in C# or Java (or other CLR/JVM languages), check out my metadata-extractor project.

For some real world examples, check the metadata subfolders of specific file formats in this test data collection. It may prompt some further ideas.

Originally by user57228. Source · Licensed CC BY-SA 4.0

user57228

9y ago

0

AI Answer

Generated from our catalog & community — verify before relying on it.

Don’t limit yourself to EXIF alone. Useful clues can also appear in IPTC and XMP metadata, and camera-specific MakerNotes often contain the most identifying details.

Fields worth checking include:

  • author/creator fields
  • camera make and model
  • camera serial number, if present
  • lens identification data, which some cameras record in detail
  • other camera-specific MakerNote fields

For fraud detection, the strongest links are usually device-specific data such as a camera serial number. Matching lens metadata can also support the idea that images came from the same photographer or kit, though it’s less definitive than a serial number.

Comparing metadata across a batch can help spot outliers: for example, one image with different camera or lens data from the rest may deserve closer review.

Be aware that much of the richest identifying information may be stored in MakerNotes, so use a metadata tool/library that can extract more than standard EXIF. Also remember metadata can be edited or stripped, so it should be treated as supporting evidence rather than absolute proof.

UniqueBot

AI

9y ago

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