Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "26819710-e3fb-49d7-be6e-129e9a0fb122"}, "_deposit": {"created_by": 74, "id": "7436", "owner": "74", "owners": [74], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7436"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007436", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Finger Print Image  Retrieval Based  on SURF and MSER Featur", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "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."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "CBIR, Feature Extraction, SURF, MSER"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Finger Print Image Retrieval Based On SUFR and MSER Features(1).pdf", "filesize": [{"value": "810 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 810000.0, "url": {"url": "https://meral.edu.mm/record/7436/files/Finger Print Image Retrieval Based On SUFR and MSER Features(1).pdf"}, "version_id": "9cddb063-6356-4c13-9bc3-f288c0d5b1c5"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICBDL 2018", "subitem_c_date": "2018-05-14", "subitem_conference_title": "2018 First International Conference on Big Data Analysis and Deep Learning Application", "subitem_place": "Phoenix Seagaia Resort,Mirazaki, Japan"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nan Yu Hlaing"}, {"subitem_authors_fullname": "Ohnmar Aung"}, {"subitem_authors_fullname": "Khaing Thazin Min"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2018-05-14"}, "item_title": "Finger Print Image  Retrieval Based  on SURF and MSER Featur", "item_type_id": "21", "owner": "74", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007436", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-13"}, "publish_date": "2021-01-13", "publish_status": "0", "recid": "7436", "relation": {}, "relation_version_is_last": true, "title": ["Finger Print Image  Retrieval Based  on SURF and MSER Featur"], "weko_shared_id": -1}
  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Information Science

Finger Print Image Retrieval Based on SURF and MSER Featur

http://hdl.handle.net/20.500.12678/0000007436
http://hdl.handle.net/20.500.12678/0000007436
28bad6ac-8dbe-496d-b0b2-a39bdafec657
26819710-e3fb-49d7-be6e-129e9a0fb122
None
Preview
Name / File License Actions
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
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2021-01-13 11:03:20.349659
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL