Automatic Identification Fingerprint Based on Machine Learning Method

被引：7

作者：

Nguyen, Long The ^{[1
]}

Nguyen, Huong Thu ^{[2
,3
]}

Afanasiev, Alexander Diomidovich ^{[1
]}

Nguyen, Tao Van ^{[3
]}

机构：

[1] Irkutsk Natl Res Tech Univ, Inst Informat Technol & Data Sci, Lab Artificial Intelligence & Machine Learning, Irkutsk, Russia

[2] Irkutsk Natl Res Tech Univ, Baikal Sch BRICS, Irkutsk, Russia

[3] Thai Nguyen Univ, Univ Informat & Commun Technol, Thai Nguyen, Vietnam

来源：

JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA | 2022年 / 10卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Fingerprint identification; Feature extraction; Image segmentation; Wavelet transform; Neural network algorithm; Machine learning; CLASSIFICATION;

D O I：

10.1007/s40305-020-00332-7

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

The fingerprint identification technology has been developed and applied effectively to security systems in financial transactions, personal information security, national security, and other fields. In this paper, we proposed the development of a fingerprint identification system based on image processing methods that clarify fingerprint contours, using machine learning methods to increase processing speed and increase the accuracy of the fingerprint identification process. The identification system consists of the following main steps: improving image quality and image segmentation to identify the fingerprint area, extracting features, and matching the database. The accuracy of the system reached 97.75% on the mixed high- and low-quality fingerprint database.

引用

页码：849 / 860

页数：12

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