PFT II Evaluation
These comments provided by Neurotechnology are based on NIST PFT II results, published on November 19, 2018. The PFT II evaluation ended in 2019. See also our comments on PFT III evaluation results for the most recent fingerprint algorithm submission.
Neurotechnology has constantly participated in the NIST PFT evaluations. Different versions of the fingerprint recognition algorithms were submitted and showed top results there. The latest submissions to the PFT II were in average the most accurate algorithms in all the experiments
NIST Proprietary Fingerprint Template Evaluation II (PFT II) was one-to-one verification evaluation which measures the performance of fingerprint matching algorithms by utilizing proprietary fingerprint templates. The samples dataset was increased to 120,000 subjects compared to previous PFT evaluation. Number of experiments was also increased to 33 with different combinations of single and two fingerprints matching.
In 2018 Neurotechnology fingerprint algorithm was submitted to NIST Proprietary Fingerprint Template Evaluation II. The algorithm 's template matching accuracy was among the best participants in most of the experiments.
Our latest submission to the PFT II was 4E. In summary, we present the accuracy results as FNMR at FMR = 0.0001 for each of the 33 experiments:
- 1-9 correspond to plain-to-plain fingerprints matching on AZLA dataset.
- 10-18 correspond to plain-to-rolled fingerprints matching on AZLA dataset.
- 19-27 correspond to rolled-to-rolled fingerprints matching on AZLA dataset.
- 28-30 correspond to plain-to-plain fingerprints matching on DHS2 dataset.
- 31-33 correspond to plain-to-plain fingerprints matching on POEBVA dataset.
We also present template size, template extraction and comparison times for five most accurate submissions for all four different datasets:
Our latest submission 4E (in cyan) was among the most accurate algorithms in all experiments. It was also the second fastest during enrollment and second/third fastest during matching of fingerprint templates.
