829 research outputs found

    Fingerprint Verification using Steerable Filters”,

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    ABSTRACT In this paper, fingerprint verification using steerable filters is presented. The existing fingerprint recognition systems are based on minutiae matching. The common fingerprint matching schemes are Correlation-based matching, Minutiae-based matching and Ridge feature -based matching. The minutiae-based matching systems are the most widely used and popular. The minutiae extraction undergoes very critical steps (like binerization, thinning) and which affects on the overall accuracy of the system. Poor ridge structure and the image processing articrafts may introduce spurious minutiae. A frequency selective as well as orientation selective transform like Gabor transform has been used for extracting the texture features. This paper describes a novel approach based on steerable wedge filter. The proposed method is capable of finding the texture features of fingerprint image irrespective to the image quality in terms of average gray level, clarity in the ridges and comparatively with fewer computations
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