# Classification of Inkjet Printers based on Droplet Statistics

arXiv: https://arxiv.org/abs/2407.09539 · HTML: https://mlsanity.com/paper/2407.09539/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 40 references that are in the map.
- First posted on arXiv 26 Jun 2024.

## Builds on (most cited first, 6 of 6)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)
- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [Searching for MobileNetV3](https://mlsanity.com/paper/1905.02244/) (2019)
- [SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size](https://mlsanity.com/paper/1602.07360/) (2016)
- [Source Printer Classification using Printer Specific Local Texture Descriptor](https://mlsanity.com/paper/1806.06650/) (2018)
- [Source Printer Identification using Printer Specific Pooling of Letter Descriptors](https://mlsanity.com/paper/2109.11139/) (2021)

## Built on by (most cited first, 2 of 2)

- [Anonymization of Documents for Law Enforcement with Machine Learning](https://mlsanity.com/paper/2501.07334/) (2025)
- [Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models](https://mlsanity.com/paper/2512.19228/) (2025)

## Abstract (arXiv)

Knowing the printer model used to print a given document may provide a crucial lead towards identifying counterfeits or conversely verifying the validity of a real document. Inkjet printers produce probabilistic droplet patterns that appear to be distinct for each printer model and as such we investigate the utilization of droplet characteristics including frequency domain features extracted from printed document scans for the classification of the underlying printer model. We collect and publish a dataset of high resolution document scans and show that our extracted features are informative enough to enable a neural network to distinguish not only the printer manufacturer, but also individual printer models.