A Novel Fingerprint Quality Assessment Based on Gabor Filters

被引：3

作者：

Andrezza, Igor ^{[1
]}

Borges, Erick ^{[1
]}

Gualberto, Arnaldo ^{[1
]}

Brasileiro, Joao ^{[2
]}

Gomes, Herman ^{[2
]}

Batista, Leonardo ^{[3
]}

机构：

[1] Vsoft Tecnol, Joao Pessoa, PB, Brazil

[2] Univ Fed Campina Grande, Campina Grande, PB, Brazil

[3] Univ Fed Paraiba, Joao Pessoa, PB, Brazil

来源：

PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI) | 2018年

关键词：

D O I：

10.1109/SIBGRAPI.2018.00042

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fingerprints are the most widely deployed biometric characteristics. However, the recognition of a fingerprint may be influenced by a lot of factors (e.g., skin conditions, sensor conditions) and a matching algorithm is highly affected by the quality of the images involved. This work proposes a novel method for Fingerprint Quality Assessment (FQA) based on the analysis of the Gabor filters response on a fingerprint image. The correlation between the worst quality templates and the matching score has also been analyzed. The method is validated on FVC2000DB3, FVC2004DB2, FVC2004DB3, and FVC2006DB3 databases. This work was compared to other FQAs in order to evaluate performance and with different matching algorithms for fair comparison. The results found pointed that the proposed method is able to identify the images which most affect the error rates of an AFIS, better than the other methods presented in the literature.

引用

页码：274 / 280

页数：7

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