Automatic Identification Fingerprint Based on Machine Learning Method

被引：0

作者：

Long The Nguyen

Huong Thu Nguyen

Alexander Diomidovich Afanasiev

Tao Van Nguyen

机构：

[1] Irkutsk National Research Technical University,Laboratory of Artificial Intelligence and Machine Learning, Institute of Information Technology and Data Science

[2] Irkutsk National Research Technical University,Baikal School of BRICS

[3] University of Information and Communication Technology,undefined

[4] Thai Nguyen University,undefined

来源：

Journal of the Operations Research Society of China | 2022年 / 10卷

关键词：

Fingerprint identification; Feature extraction; Image segmentation; Wavelet transform; Neural network algorithm; Machine learning; 68T45; 68Q32; 68W40;

D O I：

暂无

中图分类号：

学科分类号：

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：11

共 50 条

[31] The Automatic Recognition of Sepedi Speech Emotions based on Machine Learning Algorithms
Manamela, Phuti J.
Manamela, Madimetja J.
Modipa, Thipe I.
Sefara, Tshepisho J.
Mokgonyane, Tumisho B.
2018 INTERNATIONAL CONFERENCE ON ADVANCES IN BIG DATA, COMPUTING AND DATA COMMUNICATION SYSTEMS (ICABCD), 2018,
[32] A Robust Damaged Fingerprint Identification Algorithm Based on Deep Learning
Wang Yani
Wu Zhendong
Zhang Jianwu
Chen Hongli
PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 1048 - 1052
[33] Automatic verification method of progressive image model matching information based on machine learning
Yuan, Jie
Ji, Yuan
Zhu, Zhou
Huang, Liya
Qian, Junfeng
Xiong, Zhiwen
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2022, 22 (02) : 437 - 446
[34] Unsupervised Radio Frequency Fingerprint Identification Based on Curriculum Learning
Zha, Xiong
Li, Tianyun
Gong, Pei
IEEE COMMUNICATIONS LETTERS, 2023, 27 (04) : 1170 - 1174
[35] A Machine Learning Method for Automated In Vivo Transparent Vessel Segmentation and Identification Based on Blood Flow Characteristics
Sun, Mingzhu
Wang, Yiwen
Fu, Zhenhua
Li, Lu
Liu, Yaowei
Zhao, Xin
MICROSCOPY AND MICROANALYSIS, 2022, 28 (03) : 801 - 814
[36] The individual identification method of wireless device based on dimensionality reduction and machine learning
Yun Lin
Xiaolei Zhu
Zhigao Zheng
Zheng Dou
Ruolin Zhou
The Journal of Supercomputing, 2019, 75 : 3010 - 3027
[37] Machine Learning-Based Fingerprint Positioning for Massive MIMO Systems
Gong, Xinrui
Yu, Xianglong
Liu, Xiaofeng
Gao, Xiqi
IEEE ACCESS, 2022, 10 : 89320 - 89330
[38] Intelligent identification method of drilling fluid rheological parameters based on machine learning
Liu C.
Yang X.
Cai J.
Wang R.
Wang J.
Dai F.
Guo W.
Jiang G.
Feng Y.
Meitiandizhi Yu Kantan/Coal Geology and Exploration, 2024, 52 (05): : 183 - 192
[39] The individual identification method of wireless device based on dimensionality reduction and machine learning
Lin, Yun
Zhu, Xiaolei
Zheng, Zhigao
Dou, Zheng
Zhou, Ruolin
JOURNAL OF SUPERCOMPUTING, 2019, 75 (06) : 3010 - 3027
[40] Intelligent identification method of origin for Alismatis Rhizoma based on image and machine learning
Wenqi Zhao
Zongyi Zhao
Wen Zheng
Zimin Wang
Gaoting Yang
Zhiqiong Lan
Xiaoli Pan
Min Li
Scientific Reports, 15 (1)

← 1 2 3 4 5 →