Fingerprint image enhancement based on a half gabor filter

Authors:
Wonchurl Jang;Deoksoo Park;Dongjae Lee;Sung-jae Kim
Affiliations:
SoC R&D Center, Samsung Electronics, Korea;SoC R&D Center, Samsung Electronics, Korea;SoC R&D Center, Samsung Electronics, Korea;SoC R&D Center, Samsung Electronics, Korea
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

Citing 2
Cited 1

Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
A modified Gabor filter design method for fingerprint image enhancement

Pattern Recognition Letters

Adaptive approach to fingerprint image enhancement

Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia

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Abstract

The performance of a fingerprint recognition system relies on the quality of the input fingerprint images. Several researches have been studied on the enhancement of fingerprint images for fingerprint recognition. The representative enhancement is the adaptive filtering method based on Gabor filter (GF). However, this method is computationally expensive due to the large mask size of GF. In this paper, we propose a half Gabor filter (HGF), which is suitable for fast implementation in spatial domain. The HGF is a modified filter which preserves the frequency property of a GF and reduces the mask size of the GF. Compared with the GF, the HGF not only reduces the processing time approximately by 41% but also enhances the fingerprint image which is as reliable as the GF.