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

TL;DR

This study evaluates multiple fingerprint verification systems, demonstrating that combining heterogeneous approaches and multiple matchers significantly improves recognition accuracy in a biosecure network context.

Contribution

It introduces a comprehensive fusion approach for fingerprint verification, highlighting the effectiveness of combining diverse systems for enhanced performance.

Findings

Fusion of heterogeneous systems yields the best recognition results.

Combining all available systems maximizes verification performance.

Best results are achieved when integrating both minutiae-based and correlation-based methods.

Abstract

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.