# Elan 04f3:0903: reconstructing a fingerprint sensor's Linux interface

> Elan 04f3:0903 reconstructs a laptop fingerprint sensor's USB interface after analysis of its Windows driver DLLs and provides a Linux capture and authentication pipeline. The source identifies command, touch and raw-frame endpoints, then describes OpenCV preprocessing, ORB features and RANSAC matching for a PAM integration.

- Type: Case study
- Targets: Protocol
- Category: Independent reconstruction cases
- Relationship: Independent reconstruction project
- Sources reviewed: 2026-11-06
- Added to the catalog: 2026-11-08
- Original resource: <https://github.com/sarvasva-dev/elan-0903-fingerprint-linux>
- Primary source: <https://github.com/sarvasva-dev/elan-0903-fingerprint-linux/blob/74aeaba8f8a094779e9b09e3535e29f2938380fa/README.md>
- Catalog page: <https://awesomerea.org/resources/elan-0903-fingerprint-linux-case/>
- Record JSON: <https://awesomerea.org/resources/elan-0903-fingerprint-linux-case/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/resources/elan-0903-fingerprint-linux-case/index.md)

## Requirements & limits

- **Prerequisites:** An ElanTech 04f3:0903 sensor on Linux, with the Python, OpenCV and PAM dependencies installed by the project.
- **Testing evidence:** The author reports a greater than 99.5% match verification rate and under 300 ms authentication latency; the README provides no evaluation sample size.
- **License:** MIT license.

## Primary sources

1. <https://github.com/sarvasva-dev/elan-0903-fingerprint-linux/blob/74aeaba8f8a094779e9b09e3535e29f2938380fa/README.md>

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## About this entry

The description was reviewed against primary sources.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.