# Combining multiple matchers for fingerprint verification: A case study in biosecure network of excellence

arXiv: https://arxiv.org/abs/2212.01906 · HTML: https://mlsanity.com/paper/2212.01906/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 23 references that are in the map.
- First posted on arXiv 4 Dec 2022.

## Builds on (most cited first, 1 of 1)

- [On the Effects of Image Quality Degradation on Minutiae- and Ridge-Based Automatic Fingerprint Recognition](https://mlsanity.com/paper/2207.05447/) (2022)

## Abstract (arXiv)

We report on experiments for the fingerprint modality conducted during the First BioSecure Residential Workshop. Two reference systems for fingerprint verification have been tested together with two additional non-reference systems. These systems follow different approaches of fingerprint processing and are discussed in detail. Fusion experiments I volving different combinations of the available systems are presented. The experimental results show that the best recognition strategy involves both minutiae-based and correlation-based measurements. Regarding the fusion experiments, the best relative improvement is obtained when fusing systems that are based on heterogeneous strategies for feature extraction and/or matching. The best combinations of two/three/four systems always include the best individual systems whereas the best verification performance is obtained when combining all the available systems.