Identification of fingerprint image with Minkowski distance algorithm approach

Authors

  • Wisnu Catur Rachmad Tulloh Universitas Ahmad Dahlan
  • Dian Eka Wijayanti Universitas Ahmad Dahlan

DOI:

https://doi.org/10.12928/bamme.v3i2.9949

Keywords:

Data analysis, Fingerprint identification, Minkowski distance, System security

Abstract

In the digital era, fingerprint identification plays a critical role in information technology administration. Various studies have been conducted to improve the fingerprint identification process, but there are still cases of identification failures that are fatal. This research discusses fingerprint identification with the Minkowski distance method. The data of fingerprints are taken from Mathematics students and the Kaggle site. Data analysis includes the steps of image retrieval, dimensioning, conversion to grayscale, pattern matching, and accuracy measurement. Results show an improvement in data accuracy with a structured approach to data capture and preprocessing. Results from primary data obtained an accuracy of 56.67% while from secondary data obtained an accuracy of 93%.

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Published

2023-12-29

Issue

Vol. 3 No. 2 (2023)

Section

Articles

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Copyright (c) 2023 Wisnu Catur Rachmad Tulloh, Dian Eka Wijayanti

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