A Survey on Fingerprint Minutiae-based Local Matching for Verification and Identification: Taxonomy and Experimental Evaluation
This Website contains complementary material to the paper:
D. Peralta, M. Galar, I. Triguero, D. Paternain, S. García, E. Barrenechea, J.M. Benítez, H. Bustince and F. Herrera, A Survey on Fingerprint Minutiae-based Local Matching for Verification and Identification: Taxonomy and Experimental Evaluation.
Summary:
D. Peralta, M. Galar, I. Triguero, D. Paternain, S. García, E. Barrenechea, J.M. Benítez, H. Bustince and F. Herrera, A Survey on Fingerprint Minutiae-based Local Matching for Verification and Identification: Taxonomy and Experimental Evaluation.
Abstract
Fingerprint recognition has found a reliable application as verification or identification of people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several perceptions observed by the experts; such as the distinctiveness and the permanence on humans and the performance in real applications. Among the main stages of fingerprint recognition, the automated matching phase has received much attention from the early years up to nowadays. This paper is devoted to review and categorize the vast number of fingerprint matching methods proposed in the specialized literature. In particular, we focus on local minutiae-based matching algorithms, which provide good performance with an excellent trade-off between efficacy and efficiency. We identify the main properties and differences of existing methods. Then, we include an experimental evaluation involving the most representative local minutiae-based matching models in both verification and evaluation tasks. The results obtained will be discussed in detail, supporting the description of future directions.
Results obtained
Performance measures
The following table contains the CSV files that summarize all the performance measures obtained for the tested databases and the matching algorithms:
| Performance measure | FVC databases | Captured databases |
| EER |  |
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| TPR | |
|
| FMR100 | |
|
| FMR1000 | |
|
| ZeroFMR | |
|
| R100 | |
|
| R1000 | |
|
| ZeroR | |
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| Average matching time | |
|
Table 1. CSV files with the performance measures for all tested databases.
Statistical tests
The following file contains the tables for the statistical tests performed: 