Camera-based document image retrieval system using local features - comparing SRIF with LLAH, SIFT, SURF and ORB-Reference-Cited by-同舟云学术

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Camera-based document image retrieval system using local features - comparing SRIF with LLAH, SIFT, SURF and ORB

Published:2015-08 Issue: Volume: Page:
ISSN:
Container-title:2015 13th International Conference on Document Analysis and Recognition (ICDAR)
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Author:

Dang Q.B.,Le V.P.,Luqman M.M.,Coustaty M.,Tran C.D.,Ogier J-M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7321714/7333702/07333956.pdf?arnumber=7333956

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1. Recognition of Sign Language from High Resolution Images Using Adaptive Feature Extraction and Classification;International Journal of Electronics and Telecommunications;2023-07-26

2. End-to-end learning of representations for instance-level document image retrieval;Applied Soft Computing;2023-03

3. Content-Based Image Retrieval: A Survey on Local and Global Features Selection, Extraction, Representation, and Evaluation Parameters;IEEE Access;2023

4. A new database for image retrieval of camera filmed printed documents;The 27th International Conference on 3D Web Technology;2022-11-02

5. Image Retrieval-Based Localization Under Seasonal Changes;2022 IEEE 2nd International Conference on Computer Communication and Artificial Intelligence (CCAI);2022-05-06

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