Image enhancement and minutiae matching in fingerprint verification
نویسندگان
چکیده
منابع مشابه
Adaptive Fingerprint Image Enhancement with Minutiae Extraction
Fingerprint image enhancement is the basic and most required component of biometric verification system. This method proposes a fingerprint image enhancement and template based minutiae extraction techniques. For better enhancement the preprocessing stage includes global and local analysis. In the preprocessing and local analysis blocks, a nonlinear dynamic range adjustment method is used. In t...
متن کاملFingerprint Identification and Verification System using Minutiae Matching
Fingerprints are the most widely used biometric feature for person identification and verification in the field of biometric identification. Fingerprints possess two main types of features that are used for automatic fingerprint identification and verification: (i) global ridge and furrow structure that forms a special pattern in the central region of the fingerprint and (ii) Minutiae details a...
متن کاملA TSVM-Based Minutiae Matching Approach for Fingerprint Verification
This paper introduces Transductive Support Vector Machine (TSVM) into fingerprint verification. An improved fingerprint matching approach using TSVM is presented. In the proposed approach, the traditional minutiae-based fingerprint matching task is transformed to a classification task using TSVM. The paper presents an analysis of why TSVM are well suited for fingerprint matching, especially for...
متن کاملFingerprint Image Enhancement and Extraction of Minutiae and Orientation
Fingerprints are popular among the biometric – based systems due to ease of acquisition, uniqueness and availability. Fingerprint based biometric systems work by extracting and matching some features on the fingerprint. Due to errors in acquisition phase, it is possible that the scanned fingerprint image is not of a good quality and hence needs to be enhanced before being processed by the featu...
متن کاملPrincipal Component Analysis for Minutiae Verification on Fingerprint Image
Minutiae are the two most prominent and well-accepted classes of fingerprint features arising from local ridge discontinuities: ridge endings and ridge bifurcations. However, the preprocessing stage doesn’t eliminate all possible defects in the original gray-level image and the orientation estimation in a poor image is extremely unreliable. In order to further eliminate the false minutiae cause...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2003
ISSN: 0167-8655
DOI: 10.1016/s0167-8655(02)00376-8