Technology Awards

PFT II and PFT III Evaluations

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 and the ongoing PFT III are in average the most accurate algorithms in all the experiments

What is PFT?

The Proprietary Fingerprint Template (PFT) is a series of fingerprint matching technology evaluations, which are run by NIST to assess one-to-one matching performance and accuracy with proprietary templates while using unified datasets and rulesets. The most recent PFT III is designed in a way that the testing is performed by each participant with NIST-provided biometric data, using NIST-provided testing environment and protocol. The results are then submitted to NIST for further evaluation. See PFT III official page for more information.

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.
Neurotechnology algorithm accuracy in NIST PFT II Evaluation (cyan line)
Neurotechnology algorithm accuracy in NIST PFT II Evaluation (cyan line)

We also present template size, template extraction and comparison times for five most accurate submissions for all four different datasets:

Neurotechnology algorithm performance in NIST PFT II Evaluation (cyan line)
Neurotechnology algorithm performance in NIST PFT II Evaluation (cyan line)
Neurotechnology algorithm performance in NIST PFT II Evaluation (cyan line)
Matching accuracy
PFT II accuracy chart thumbnail
Click to zoom
Template size
PFT II accuracy chart thumbnail
Click to zoom
Extraction speed
PFT II accuracy chart thumbnail
Click to zoom
Matching speed
PFT II accuracy chart thumbnail
Click to zoom

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 II and PFT III results, reviewed on February 19, 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.

Neurotechnology algorithm accuracy in NIST PFT III Evaluation (cyan line)
Neurotechnology algorithm accuracy in NIST PFT III Evaluation (cyan line)
Neurotechnology algorithm accuracy in NIST PFT III Evaluation (cyan line)
Matching accuracy
PFT III accuracy chart thumbnail
Click to zoom
Top-10 accuracy
PFT III accuracy chart thumbnail
Click to zoom
Accuracy evolution
PFT III accuracy chart thumbnail
Click to zoom
Representatives
Neurotechnology Distributors Map Ex-Cle S.A - representative in Argentina FingerSec do Brasil - distributor in Brazil (web site in Portuguese) Distributors in Chile Neurotechnology's Chinese Office (web site in Chinese) Security Systems Ltda - distributor in Colombia (web site in Spanish) Data6terms - distributor in Congo D.R. General Security El Salvador - distributor in El Salvador (web site in Spanish) Infokey Software Solutions - distributor in Greece (web site in Greek and English) India Branch - Neurotechnology Lab India Fulcrum Biometrics India Pvt. Ltd. - distributor in India Unifyia Solutions India Pvt. Ltd. - distributor in India Biometric srl - distributor in Italy (web site in Italian) Software Sources Ltd - distributor in Israel Bruce and Brian Co., LTD. - distributor in Korea (web site in Korean) Biosec Solutions - distributor in Nigeria Digital Data Systems (DDS Biometrics) - distributor in Pakistan Ex-Cle S.A - distributor in Paraguay Digital Works - distributor in Peru DigiFace Solutions - distributor in Singapore Fingerprint i.t. - distributor in South Africa Intuate Biometrics - distributor in Spain (web site in Spanish) Sri Lanka Branch - Neurotechnology Lab Delaney Biometrics - distributor in the UK Fulcrum Biometrics - representative in the USA Unifyia, Inc - distributor in the USA
Follow us
Facebook icon   LinkedIn icon   Twitter icon   Youtube icon   Email newsletter icon
Copyright © 1998 - 2021 Neurotechnology | Terms & Conditions | Privacy Policy | Career