20.500.12556/DKUM-50420 Efficiency analysis of compared normalization methods for fingerprint image enhancement 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. fingerprint enhancement fingerprnt recognition system image normalization true false false Angleški jezik Neznan jezik Delo ni kategorizirano 2015-07-10 12:39:41 2015-07-10 12:39:41 2022-05-29 03:06:56 2021-05-09 03:27:56 2013 0 0 str. 40-45 no. 3 Vol. 3 2013 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.38 16935702 2222-9833 URN:SI:UM:DK:AIGWCACU http://scientific-journals.org/journalofsystemsandsoftware/archive/vol3no3/vol3no3_2.pdf 1 https://dk.um.si/Dokument.php?lang=slv&id=74979 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0