Research on lace defect detection based on fingerprint identification method of detail feature points extraction and matching-Reference-Cited by-同舟云学术

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Research on lace defect detection based on fingerprint identification method of detail feature points extraction and matching

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Li Jianxing¹,Yang Qiuyu¹,Liu Zhenyu¹,Lin Chenhuang¹,He Zhigang¹

Affiliation:

1. Fujian University of Technology,Research and Development Center for Industrial Automation Technology of Fujian Province,Fuzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09728260.pdf?arnumber=9728260

Reference12 articles.

1. Gabor-filter-based automatic textile defect detection

2. Improved defect detection using support vector machines and wavelet feature extraction based on vectorquantization and SVD techniques [J];karras;Computer Networks and ISDN Systems,2003

3. Improved ORB matching algorithm based on adaptive threshold[J];shiji;Journal of Physics Conference Series,2021

4. 1D Autoregressive Modeling for Defect Detection in Web Inspection Systems[C];hajimowlana;Midwest Symposium on Circuits and Systems,1998

5. An identification case study from fingerprint photographs[J];san;ForensicSci Int,2021

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