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New Index
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Item
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Finger Print Image Retrieval Based on SURF and MSER Featur
http://hdl.handle.net/20.500.12678/0000007436
http://hdl.handle.net/20.500.12678/000000743628bad6ac-8dbe-496d-b0b2-a39bdafec657
26819710-e3fb-49d7-be6e-129e9a0fb122
Name / File | License | Actions |
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Finger Print Image Retrieval Based on SURF and MSER Featur | |||||
Language | en | |||||
Publication date | 2018-05-14 | |||||
Authors | ||||||
Nan Yu Hlaing | ||||||
Ohnmar Aung | ||||||
Khaing Thazin Min | ||||||
Description | ||||||
To retrieve the similar fingerprints, given a query image, and their indexation is used to reduce the search spaces of candidate images. From our experiments we can conclude that the best retrieval accuracy was achieved by modeling the SURF and MSER feature. | ||||||
Keywords | ||||||
CBIR, Feature Extraction, SURF, MSER | ||||||
Conference papers | ||||||
ICBDL 2018 | ||||||
2018-05-14 | ||||||
2018 First International Conference on Big Data Analysis and Deep Learning Application | ||||||
Phoenix Seagaia Resort,Mirazaki, Japan |