Fingerprint Identification And Its Advanced Applications Pdf

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fingerprint identification and its advanced applications pdf

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Influence of Skin Diseases on Fingerprint Quality and Recognition

A new fingerprint matching method is proposed in this paper, with which two fingerprint skeleton images are matched directly. In this method, an associate table is introduced to describe the relation of a ridge with its neighbor ridges, so the whole ridge pattern can be easily handed. In addition, two unique similarity measures, one for ridge curves, another for ridge patterns, are defined with the elastic distortion taken into account. Experiment results on several databases demonstrate the effectiveness and robustness of the proposed method. Skip to main content Skip to sections.

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PDF | Fingerprint Recognition is one of the research hotspots in Biometrics. It refers to the The. third category of methods uses machine learning [25, 28, 29].


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G , Soukhya S. Abstract—Fingerprint recognition is one of the most popular and successful methods used for person identification, which takes advantage of the fact that the fingerprint has some unique characteristics called minutiae; which are points where a curve track finishes, intersect with other track or branches off. Fingerprint Recognition is one of the research hot spots in Biometric. It refers to the automated method of verifying a match between two human. Advancement of computing.

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New Trends and Developments in Biometrics. Fingerprint recognition belongs to one of the most often used biometric technologies worldwide. It is believed that fingerprints could be used for the recognition of a person in nearly any case; however there exist many cases, where the fingerprint recognition could not be used. There exist some influencing factors [ 1 ] that have an impact to the process of fingerprint recognition, e. This chapter deals with the circumstances which influence the quality of fingerprints — we are limited on skin diseases here, further we explain how we can evaluate the quality of the acquired fingerprint. The fingerprint recognition consists of five main steps see Fig.

Pavlova 6, Olomouc, Czech Republic. There are many people who suffer from some of the skin diseases. These diseases have a strong influence on the process of fingerprint recognition. People with fingerprint diseases are unable to use fingerprint scanners, which is discriminating for them, since they are not allowed to use their fingerprints for the authentication purposes. First in this paper the various diseases, which might influence functionality of the fingerprint-based systems, are introduced, mainly from the medical point of view. This overview is followed by some examples of diseased finger fingerprints, acquired both from dactyloscopic card and electronic sensors. At the end of this paper the proposed fingerprint image enhancement algorithm is described.

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    In book: Advanced Biometric Technologies (pp); Publisher: Intech. Authors: This is the opposite of most fingerprint matching algorithms in fingerprint In (Jain et al., ), a hybrid matching algorithm that uses both minutiae (point).