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Databáze otisků prstů / A fingerpring databaseKubát, Jaroslav January 2016 (has links)
The main goal of this thesis is to provide full description of an implementation of an application that is supposed to be a complex dactyloscopic database tool. The text is divided into parts according to the functional blocks of the application. The parts are namely processing of input fingerprint, the minutiae point analysis, the description of minutiae representation, the database and index structure described with its operations. Usually we describe multiple algorithms for a single task. In this case we provide their comparison. At the end of this thesis, there is a user manual describing the main usage scenarios. Powered by TCPDF (www.tcpdf.org)
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Cartoon-Residual Image Decompositions with Application in Fingerprint RecognitionRichter, Robin 06 November 2019 (has links)
No description available.
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Extraction and Application of Secondary Crease Information in Fingerprint Recognition SystemsHymér, Pontus January 2005 (has links)
<p>This thesis states that cracks and scars, referred to as Secondary Creases, in fingerprint images can be used as means for aiding and complementing fingerprint recognition, especially in cases where there is not enough clear data to use traditional methods such as minutiae based or correlation techniques. A Gabor filter bank is used to extract areas with linear patterns, where after the Hough Transform is used to identify secondary creases in a r, theta space. The methods proposed for Secondary Crease extraction works well, and provides information about what areas in an image contains usable linear pattern. Methods for comparison is however not as robust, and generates False Rejection Rate at 30% and False Acceptance Rate at 20% on the proposed dataset that consists of bad quality fingerprints. In short, our methods still makes it possible to make use of fingerprint images earlier considered unusable in fingerprint recognition systems.</p>
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Extraction and Application of Secondary Crease Information in Fingerprint Recognition SystemsHymér, Pontus January 2005 (has links)
This thesis states that cracks and scars, referred to as Secondary Creases, in fingerprint images can be used as means for aiding and complementing fingerprint recognition, especially in cases where there is not enough clear data to use traditional methods such as minutiae based or correlation techniques. A Gabor filter bank is used to extract areas with linear patterns, where after the Hough Transform is used to identify secondary creases in a r, theta space. The methods proposed for Secondary Crease extraction works well, and provides information about what areas in an image contains usable linear pattern. Methods for comparison is however not as robust, and generates False Rejection Rate at 30% and False Acceptance Rate at 20% on the proposed dataset that consists of bad quality fingerprints. In short, our methods still makes it possible to make use of fingerprint images earlier considered unusable in fingerprint recognition systems.
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