NIST PFT III Results
Finger/Palm Print algorithms of Hisign1 NIST Test
Proprietary Fingerprint Template (PFT) III is a fingerprint technology evaluation exploring the performance and accuracy of proprietary fingerprint templates as used in one-to-one matching. Proprietary templates are a type of file that stores the features of a fingerprint in a way that can only understood by the file's creator.
Hisign fingerprint algorithm was submitted to NIST Proprietary Fingerprint Template Evaluation The algorithm's template matching accuracy was among the best participants in most of the experiments. The test result for each vendor can be found at
a) FNMR@FMR=0. 0001 Performance of Hisign algorithm is listed in below sheet.
b) FMR@FNMR=0.001 Performance of Hisign algorithm is listed in below sheet.
c) FMR@FNMR= 0.01 Performance of Hisign algorithm is listed in below sheet.
Based on above data, Hisign achieved superior performance in most of the tests that the comprehensive ranking is within top level among the participant vendors.
FVC-onGoing is a web-based automated evaluation system for fingerprint recognition algorithms. Tests are carried out on a set of sequestered datasets and results are reported on-line by using well known performance indicators and metrics.
The aim is to track the advances in fingerprint recognition technologies, through continuously updated independent testing and reporting of performances on given benchmarks. The algorithms are evaluated using strongly supervised approaches to maximize trustworthiness.
a) ISOMatch contains fingerprint matching benchmarks using a standard minutiae-based template format [ISO/IEC 19794-2 (2005)]. The test uses two data sets, a standard test set and a low quality (hard) test set. The standard test set images are of good quality fingerprint images. The quality of the low quality test is low, and there are more noise and deformation.
Hisign's ranking for low quality test (HARD mode) and standard test (STD mode):
b) FvMatch is a test of the performance of the participants’ matching algorithm on their own characteristics. In both HARD mode and STD mode, Hisign ranked either first or second.
c) Palm verification is a test of the performance of the participants’ matching algorithm on their own characteristics.
These are published at https://biolab.csr.unibo.it/fvcongoing/UI/Form/PublishedAlgs.aspx
The matching algorithm is the core technology in fingerprint recognition, we use multi features and many matching methods to ensure the high performance. For the minutiae based algorithm, we use minutiae local structure methods and minutiae triplet methods. The minutiae local structure methods are with good adaptability to noise and distortion. The minutiae triple methods ensure recognition for large distortion fingerprint. In addition to fingerprint minutiae, ridge line density, neighborhood orientation field, ridge count, quality map and other extended features are used. Using multi features ensures high performance of the SDK.