PFT II and PFT III Evaluations
The NIST Proprietary Fingerprint Template evaluation is an ongoing program to measure the performance of fingerprint matching software by utilizing vendor proprietary fingerprint templates. Neurotechnology has constantly participated in the PFT evaluations, including the most recent PFT III evaluation.
The current PFT III includes datasets from the previous PFT II, so the comments are provided for both evaluations to show the evolution of Neurotechnology's fingerprint recognition algorithm:
NIST PFT II
These comments provided by Neurotechnology are based on NIST PFT II results, published on November 19, 2018.
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.
NIST PFT III
These comments provided by Neurotechnology are based on NIST PFT III results, reviewed on January 10, 2021.
The PFT II evaluation ended in 2019 and has been changed with PFT III which includes more databases and experiments. But it also includes comparison with the previous PFT II experiments.
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.
Our latest submission Neurotechnology+0001 (in cyan) is in average the most accurate algorithm in all the experiments at the PFT III. Also we can see evolution of our algorithm since 2015 when we started participating in the PFT II and continued to the PFT III. In average our accuracy has increased 1.68 times, and in some tests our accuracy increased up to 3 times.
