Abstract
Fingerprint image enhancement is a key step in the Automated Fingerprint Identification System (AFIS). Because of different factors that affect the image, such as skin condition (very dry or moist, damaged or worn down skin, etc.), sensor noise, irregular print on the sensor, etc., the fingerprint image needs to be enhanced so that the structures of ridges and valleys are clearly visible. This paper presents fingerprint image enhancement with oriented linear anisotropic diffusion in the first stage and oriented local ridge compensation in the second stage. To control the process of oriented diffusion we have determined an orientation field from the previously established ridge orientation, which was additionally enhanced. Because the overall image contrast is decreased after the diffusion process, we have enhanced the contrast with block local normalization. In the second stage we have additionally enhanced ridge structure with oriented local ridge compensation. We have compared and combined our proposed algorithm with some of the state-of-the-art algorithms. The results of experiments, done on a public database FVC2004, show efficient fingerprint image enhancement. DOI: http://dx.doi.org/10.5755/j01.eee.20.8.8440
Highlights
Fingerprint is a biometric physiological characteristic used for verification and identification of persons
This paper presents contextual filtering in the spatial domain with oriented anisotropic linear diffusion [5] and optimization of the local ridge compensation filter, which was presented in [4]
Because of different factors affecting the image a fingerprint image can be marked as a low-quality
Summary
Fingerprint is a biometric physiological characteristic used for verification and identification of persons. In a fingerprint image the context is most often defined with local ridge frequency and ridge orientation. To control oriented local ridge compensation in the second stage, we have previously determined ridge orientation in the image enhanced in the first stage. Chikkerur [6] proposed STFT for enhancing a fingerprint image This procedure determines ridge orientation and ridge frequency for each block individually, and uses this information for image filtering in the Fourier domain. The paper includes the following sections: Section II presents first stage enhancement, which includes determining ridge orientation, diffusion process and contrast enhancement with block local normalization.
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