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Izboljšava kvalitete slike prstnega odtisa

Bule Jernej,Peter Peer-2015-07-10-Repository of the University of Ljubljana (University of Ljubljana)
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TL;DRAbstract

The performance of minutiae extraction algorithms and other algorithms in fingerprint recognition systems relies heavily on the quality of the input fingerprint images. Extracting features out of poor quality prints is an open problem. This paper presents different popular algorithms for fingerprint image enhancement and comparisons between them. We extended popular fingerprint enhancement based on Short Time Fourier Transform and Two-Stage Enhancement Scheme with 1D smoothing and obtained improvement in the recognition rate on a set of 800 bad quality images from FVC2002 database.

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The performance of minutiae extraction algorithms and other algorithms in fingerprint recognition systems relies heavily on the quality of the input fingerprint images. Extracting features out of poor quality prints is an open problem. This paper presents different popular algorithms for fingerprint image enhancement and comparisons between them. We extended popular fingerprint enhancement based on Short Time Fourier Transform and Two-Stage Enhancement Scheme with 1D smoothing and obtained improvement in the recognition rate on a set of 800 bad quality images from FVC2002 database.

Keywords

MinutiaeArtificial intelligenceComputer scienceFingerprint (computing)Fingerprint recognitionSmoothingImage qualityComputer vision

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