diplomsko delo
Jaka Pohar (Avtor), Peter Peer (Mentor)

Povzetek

Ujemanje prstnih odtisov na podlagi grebenov

Ključne besede

računalniški vid;prstni odtisi;samodejno razpoznavanje;primerjanje grebenov;fuzija;računalništvo;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [J. Pohar]
UDK: 004.93(043.2)
COBISS: 10097236 Povezava se bo odprla v novem oknu
Št. ogledov: 55
Št. prenosov: 6
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Ridge-based fingerprint matching
Sekundarni povzetek: The diploma thesis presents an upgrade of the FingerIdent fingerprint verification system. The current version of the system uses a minutia matching procedure for comparison of two fingerprints. In order to improve the security of the system we have implemented an additional matching procedure which is based on the use of fingerprint ridges. Algorithm inputs are lists of ridge points of two fingerprints. At the beginning the algorithm searches the initial base ridge pair and matches it. Then it calculates the overlapping region of the fingerprints and recursively matches all the other pairs of ridges. In order to tolerate non-linear distortion it calculates the transformation for each matching pair separately. It repeats the procedure for the other base ridge pairs and uses the best matching score. We have carried out the integration of the algorithm with the FingerIdent system in a way that the final matching score of two fingerprints is formed as a combination of the existent matching procedure and the newly implemented matching procedure. We have tested the upgraded FingerIdent system on four test sets from the FVC 2002 competition. Each test set contains 800 fingerprint images of different qualities and sizes. We have tested different matching scenarios. Comparison of the results shows that the system which calculates the final matching score as a weighted sum of scores of the current minutia matching procedure and the newly implemented ridge matching procedure achieves better reliability.
Sekundarne ključne besede: computer vision;fingerprints;automated recognition;ridge matching;fusion;computer science;computer and information science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo/naloga
Komentar na gradivo: Univerza v Ljubljani, Fak. za računalništvo in informatiko
Strani: 63 str.
ID: 24275636