Extraction of parameters from biometric data samples

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DOI

Paweł Danek

pawel.danek@pollub.edu.pl

Krzysztof Ćwirta

krzysztof.cwirta@pollub.edu.pl

Piotr Kopniak

p.kopniak@pollub.pl

Abstract

This article describes possible ways to extract parameters from biometric data samples, such as fingerprint or voice recording. Influence of particular approaches to biometric sample preparation and comparision algorithms accuracy was verified. Experiment involving processing big ammount of samples with usage of particular algorithms was performed. In fingerprint detection case the image normalization, Gabor filtering and comparision method based on descriptors were used. For voice authorization LPC and MFCC alghoritms were used. In both cases satisfying accuracy (60-80%) was the result of the surveys.

Keywords:

biometrics; fingerprint; voice; authorization; normalization; gabor; descriptor; lpc; mfcc

References

Article Details

Danek, P., Ćwirta, K., & Kopniak, P. (2019). Extraction of parameters from biometric data samples. Journal of Computer Sciences Institute, 13, 323–331. https://doi.org/10.35784/jcsi.1327