MERAL Myanmar Education Research and Learning Portal
Item
{"_buckets": {"deposit": "5a912bfd-2023-4020-9bb4-2c5156961f06"}, "_deposit": {"id": "4215", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4215"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4215", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "In this paper, we have presented a Fingerprint Recognition System which combines both the features extraction by applying a statistical and geometry approach. First, the core point (CP) of the input fingerprint is detected. Next, we find again fingerprint features such as minutiae point location. Each furrow pattern is extracted and measured relative distance from core point in horizontally and vertically based on the fingerprint image’s core point. These above mentioned features are stored in different databases. And then the input fingerprint features are compared with above pre-defined database and decision will be made by voting system. We conducted evaluations on the FVC-2004 datasets and have summarized the results in the conclusion section."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Fingerprint recognition"}, {"interim": "Geometry"}, {"interim": "Voting system."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-08-06"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "59017.pdf", "filesize": [{"value": "564 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 564000.0, "url": {"url": "https://meral.edu.mm/record/4215/files/59017.pdf"}, "version_id": "1b6fe006-f9a8-414c-8f7c-07ca27c4b1c5"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Min, Mar Mar"}, {"subitem_authors_fullname": "Thein, Yadana"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1908"}, "item_title": "Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004215", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-06"}, "publish_date": "2019-08-06", "publish_status": "0", "recid": "4215", "relation": {}, "relation_version_is_last": true, "title": ["Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques"], "weko_shared_id": -1}
Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques
http://hdl.handle.net/20.500.12678/0000004215
http://hdl.handle.net/20.500.12678/00000042152d6c1a46-7e1e-4ebe-ac28-1658d0edb75d
5a912bfd-2023-4020-9bb4-2c5156961f06
Name / File | License | Actions |
---|---|---|
59017.pdf (564 Kb)
|
|
Publication type | ||||||
---|---|---|---|---|---|---|
Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Min, Mar Mar | ||||||
Thein, Yadana | ||||||
Description | ||||||
In this paper, we have presented a Fingerprint Recognition System which combines both the features extraction by applying a statistical and geometry approach. First, the core point (CP) of the input fingerprint is detected. Next, we find again fingerprint features such as minutiae point location. Each furrow pattern is extracted and measured relative distance from core point in horizontally and vertically based on the fingerprint image’s core point. These above mentioned features are stored in different databases. And then the input fingerprint features are compared with above pre-defined database and decision will be made by voting system. We conducted evaluations on the FVC-2004 datasets and have summarized the results in the conclusion section. | ||||||
Keywords | ||||||
Fingerprint recognition, Geometry, Voting system. | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1908 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |