Combining multiple matchers for fingerprint verification: A case study in biosecure network of excellence
This work addresses fingerprint verification accuracy for biometric security applications, but it is incremental as it focuses on combining existing systems rather than introducing new methods.
The researchers tackled fingerprint verification by testing four different systems and their combinations, finding that the best recognition strategy uses both minutiae-based and correlation-based measurements, with the best verification performance achieved when combining all available systems.
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.