# Improving Fingerprint Pore Detection with a Small FCN

arXiv: https://arxiv.org/abs/1811.06846 · HTML: https://mlsanity.com/paper/1811.06846/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Nov 2018.

## Built on by (most cited first, 1 of 1)

- [Fingerprint Pore Detection: A Survey](https://mlsanity.com/paper/2211.14716/) (2022)

## Abstract (arXiv)

In this work, we investigate if previously proposed CNNs for fingerprint pore detection overestimate the number of required model parameters for this task. We show that this is indeed the case by proposing a fully convolutional neural network that has significantly fewer parameters. We evaluate this model using a rigorous and reproducible protocol, which was, prior to our work, not available to the community. Using our protocol, we show that the proposed model, when combined with post-processing, performs better than previous methods, albeit being much more efficient. All our code is available at https://github.com/gdahia/fingerprint-pore-detection