# Douglas-Quaid -- Open Source Image Matching Library

## TL;DR

Douglas-Quaid is an open-source, modular image matching library designed to assist security analysts in classifying and correlating images efficiently, addressing a gap in available tools.

## Contribution

The paper introduces Douglas-Quaid, the first open-source library specifically tailored for visual correlation and image matching in security contexts.

## Key findings

- Library achieves competitive speed and quality in image matching
- Modular design facilitates customization and extension
- Potential to automate screenshot classification reduces analyst workload

## Abstract

Security analysts need to classify, search and correlate numerous images. Automatic classification tools improve the efficiency of such tasks. However, no open-source and turnkey library was found able to reach this goal. The present paper introduces an Open-Source modular library for the specific cases of visual correlation and Image Matching named Douglas-Quaid. The design of the library, chosen tradeoffs, encountered challenges, envisioned solutions as well as quality and speed results are presented in this paper. We also explore researches directions and future potential developments of the library. Our claim is that even partial automation of screenshots classification would reduce the burden on security teams and that Douglas-Quaid is a step forward in this direction.