Marko Kočevar (Avtor), Zdravko Kačič (Avtor)

Povzetek

The efficiency of automated fingerprint identification system depends highly on fingerprint image enhancement algorithms. Fingerprint image enhancement canbe divided into two stages: 1) At the first stage we enhance the image withconventional filters, where filter parameters do not change. 2) At the second stage we enhance the structure of ridges and valleys with contextual filters, where filter parameters change according to pre-calculated ridge orientation and frequency. This article presents an efficiency analysis of compared methods at the first stage with global normalization, local normalization and block local normalization, attempts to find the most efficient combination and evaluates the effectiveness of analysed methods fromthe perspective of their use in real time fingerprint identification systems. In the experimental part we compared three different types of normalization algorithms for enhancing image contrast, and then in combinationwith the second enhancement stage (Gabor filter and STFT) we assessed the enhancement system's effectiveness on database FVC2004.

Ključne besede

fingerprint enhancement;fingerprnt recognition system;image normalization;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
UDK: 621.38
COBISS: 16935702 Povezava se bo odprla v novem oknu
ISSN: 2222-9833
Št. ogledov: 920
Št. prenosov: 51
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: Neznan jezik
URN: URN:SI:UM:
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 40-45
Letnik: ǂVol. ǂ3
Zvezek: ǂno. ǂ3
Čas izdaje: 2013
Ključne besede (UDK): applied sciences;medicine;technology;uporabne znanosti;medicina;tehnika;engineering;technology in general;inženirstvo;tehnologija na splošno;mechanical engineering in general;nuclear technology;electrical engineering;machinery;strojništvo;electrical engineering;elektrotehnika;
ID: 1439547
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