A Comparative Analysis on Fingerprint Binarization Techniques
نویسنده
چکیده
The robustness of a fingerprint authentication system depend on the quality of the binarized fingerprint image. Since the uniqueness of a fingerprint image is determined by the minutiae points which are extracted from a binarized fingerprint image. A very robust binarization process is therefore essential to get the correct set of minutiae points. Thresholding is an effective tool for binarization. In this paper rough set based method is compared with traditional Otsu’s method for binarizing the fingerprint image. The experiments have been conducted on the fingerprint databases FVC2002 and FVC2004. The quantitative metrics such as Relative foreground Area Error (RAE), F-Measure are used to evaluate the performance of the binarization algorithm. Adaptive local threshold based on the mean is used to construct the reference image for RAE computation. The RAE, F-measure of the rough set based method is improved when compared with the Otsu’s method. KeywordsBinarization, Fingerprint, F-Measure, Otsu, RAE, Rough Entropy, Rough Set
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