Marko Kočevar (Author), Zdravko Kačič (Author)

Abstract

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.

Keywords

fingerprint enhancement;fingerprnt recognition system;image normalization;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 621.38
COBISS: 16935702 Link will open in a new window
ISSN: 2222-9833
Views: 920
Downloads: 51
Average score: 0 (0 votes)
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Other data

Secondary language: Unknown
URN: URN:SI:UM:
Type (COBISS): Not categorized
Pages: str. 40-45
Volume: ǂVol. ǂ3
Issue: ǂno. ǂ3
Chronology: 2013
Keywords (UDC): 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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