# Fingerprint Liveness Detection Based on Quality Measures

arXiv: https://arxiv.org/abs/2207.04809 · HTML: https://mlsanity.com/paper/2207.04809/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 25 references that are in the map.
- First posted on arXiv 11 Jul 2022.

## Builds on (most cited first, 2 of 2)

- [A Comparative Study of Fingerprint Image-Quality Estimation Methods](https://mlsanity.com/paper/2111.07432/) (2021)
- [Direct attacks using fake images in iris verification](https://mlsanity.com/paper/2111.00178/) (2021)

## Abstract (arXiv)

A new fingerprint parameterization for liveness detection based on quality measures is presented. The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising over 4,500 real and fake images acquired with three different optical sensors. The proposed solution proves to be robust to the multi-sensor scenario, and presents an overall rate of 93% of correctly classified samples. Furthermore, the liveness detection method presented has the added advantage over previously studied techniques of needing just one image from a finger to decide whether it is real or fake.