FINGERPRINT IMAGE ENHANCEMENT USING MEDIAN SIGMOID FILTER

Authors

  • Ainul Azura Abdul Hamid ViCubeLab, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Rosely Kumoi ViCubeLab, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Shafry Mohd Rahim UTM-IRDA DMC, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Nur Zuraifah Syazrah ViCubeLab, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v75.5057

Keywords:

Enhancement, filtering, median sigmoid, distance vector

Abstract

Quality of fingerprint image is most essential to ensure good performance of minutiae extraction result since it depends heavily on the quality of fingerprint images. Fingerprint image with noise usually will produce spurious minutiae. In this paper, new combination filter called Median Sigmoid (MS) filter is introduced to remove the unwanted noise created during the acquisition process and hence increasing the accuracy of minutiae extraction result. The result shows that MS filter is an effective filter in enhancing the quality of a noisy image.

References

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Published

2015-07-29

Issue

Section

Science and Engineering

How to Cite

FINGERPRINT IMAGE ENHANCEMENT USING MEDIAN SIGMOID FILTER. (2015). Jurnal Teknologi (Sciences & Engineering), 75(4). https://doi.org/10.11113/jt.v75.5057