Role Of Spatial And Frequency In Low-Quality Fingerprint Image Enhancement
[Full Text]
AUTHOR(S)
Amir Rajaei, Mahmood Kondori
KEYWORDS
Fingerprint, Enhancement, Spatial filter, Frequency filter, Low-Quality, Median Filter, Directional Interpolation
ABSTRACT
Identification through fingerprint has always been one of the most significant practical problems. There has always been a great challenge called Low-Quality Fingerprint Images (LQFIs) in fingerprint recognition. The paper used a two-step approach to enhance LQFIs, where the images that were enhanced in two main stages after some pre-processing. In the pre-processing step, we first segmented the fingerprint images using an algorithm. Then we performed local normalization. Then we estimated the local orientation for each pixel. In the first step, we used a Directional Median Filter (DMF) and then a simple interpolation method for fingerprint image enhancement. In the second step, we used a frequency filter to eliminate the noise and small spots in fingerprint images. In doing so, we used a low-pass filter in frequency domain. The results of the experiments showed that our proposed method produces better results in terms of quality.
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