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Finger Print Image Retrieval Based on SURF and MSER Featur

http://hdl.handle.net/20.500.12678/0000007436
28bad6ac-8dbe-496d-b0b2-a39bdafec657
26819710-e3fb-49d7-be6e-129e9a0fb122
None
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Finger Finger Print Image Retrieval Based On SUFR and MSER Features(1).pdf (810 KB)
Publication type
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
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0
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