Fingerprint Image Enhancement using Wavelet over Gabor filters
نویسندگان
چکیده
Fingerprint identification is one of the most popular biometric technologies and is used in criminal investigations, commercial applications, and so on. The performance of a fingerprint image-matching algorithm depends heavily on the quality of the input fingerprint images. It is very important to acquire good quality images but in practice a significant percentage of acquired images is of poor quality due to some environmental factors or user’s body condition. Therefore, an image enhancement algorithm is necessary to increase the performance of the minutiae extraction algorithm. The traditional approach is based on Gabor filter, which is the most common approach used in the fingerprint image enhancement. The proposed approach deals with the wavelet denoising which enhances the fingerprint image by reducing noise and selecting threshold values by the computation of discrete wavelet transform, and thus comparing the performance of the traditional and proposed approach. Keywordsfingerprint, enhancement, Gabor filter, Wavelet, Performance measure
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