Optimizing Parameters of Discrete Wavelet Transform for Noise Reduction in Fingerprint Images

被引：0
作者：
Enesi, Indrit [1 ]
Lico, Ledion [2 ]
机构：
[1] Polytech Univ Tirana, Dept Tel &Elect, Tirana, Albania
[2] Gener2, Tirana, Albania
来源：
2021 10TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, MECO | 2021年
关键词：
fingerprint; noise reduction; DWT; decomposition levels; filter size; PSNR; -component; formatting; style; styling; insert(key words);
D O I：
10.1109/MECO52532.2021.9460277
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Fingerprint recognition is an important way in person's identification. Noise reduction in fingerprint images increases the accuracy of minutiae detection. Wavelet transforms are widely used in noise reduction in image enhancement. Discreet Wavelet Transform is a method widely used in this field. It is important to find the appropriate filters and mother wavelet. Setting the appropriate parameters has impact in getting optimal results. The parameters analyzed here are the number of decomposition levels and the size of the filter window. The metric used to measure noise reduction is PSNR.
引用
收藏
页码：331 / 335
页数：5
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