Printed Multilingual Document Image Retrieval Based On Improved SURF-Reference-Cited by-同舟云学术

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Printed Multilingual Document Image Retrieval Based On Improved SURF

Published:2023-10-27 Issue: Volume:37 Page:496-501
ISSN:
Container-title:2023 12th International Conference on Computing and Pattern Recognition
language:
Short-container-title:

Author:

Zhao Xiangqian¹^ORCID,Xu Xuebin²^ORCID,Kasenmu Reyihanguli³^ORCID

Affiliation:

1. Xinjiang University, China

2. Xinjiang Key Laboratory of Signal Detection and Processing(Xinjiang University), Xinjiang University, China

3. Xinjiang Teachers college, China

Funder

Natural Science Foundation of Xinjiang Science and Technology Department

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3633637.3633715

Reference15 articles.

1. LDA word image representation of Mongolian ancient book image keyword retrieval method;Bai Shuxia;Journal of Modern Information,2017

2. Hongyan Duan, Xiaoyu Zhang, and Wensi He. 2019. Optimization of SURF Algorithm for Image Matching of Parts. Transactions on Intelligent Welding Manufacturing13 (2019), 145–157.

3. Research on indoor mobile robot visual odometry;Yunfeng;Transducer and Microsystem Technologies,2012

4. Kai Guo and Junmei Ai. 2022. An improved KNN medical classification algorithm based on FLANN. Computer and Modernization008 (2022), 000.

5. FAST and FLANN for feature matching based on SURF

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