Image Rescaling with the Ruler on Latent Fingerprint Images

被引：0
|
作者：
Aktas, Emre [1 ]
Elihos, Alperen [1 ]
机构：
[1] HAVELSAN AS, Goruntu & Video Isleme Grubu, Ankara, Turkiye
来源：
2023 31ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2023年
关键词：
rescaling; image processing; deep learning; fingerprint recognition;
D O I：
10.1109/SIU59756.2023.10223835
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, a novel method towards rescaling latent fingerprints with the help of ruler is presented. The proposed method is developed using traditional machine learning algorithms and deep learning. This method includes segmenting the ruler region, finding the distance between the ruler lines, and determining the scale. The ruler segmentation model used in the proposed method has 99.65% precision and 91.03% sensitivity. In addition, the use of fingerprint images whose scale is changed by the proposed method in matching algorithms increases the matching performance by 12.5%.
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页数：4
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