{"_buckets": {"deposit": "cfd3faa7-64bc-4c40-beb7-f77d1ccf40e5"}, "_deposit": {"id": "4490", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4490"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4490", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Fingerprint Recognition System based on Orientation and Texture Features", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Fingerprint recognition is one of the mostwell-known and publicized biometrics forpersonal identification. Fingerprints exhibitoriented texture-like patterns. The textureinformation of the fingerprint can be used forfingerprint matching. Gabor filters can optimallycapture global and local texture informationeven from poor-quality or incomplete images.But Gabor filterbank-based approach use onlytexture information for fingerprint recognitionand it is not robust to image distortion androtation. In this paper, a hybrid fingerprintmatching algorithm is developed for identifyingthe low quality fingerprint images by combiningorientation features and the local texture patternobtained using a bank of Gabor filters. Theproposed matching approach is compared withthe filterbank-based approach, and the proposedsystem produces a much improved matchingperformance by combining the orientationfeatures to the filterbank-based features."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Biometrics"}, {"interim": "fingerprints"}, {"interim": "fingerprint recognition"}, {"interim": "Gabor filters"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-11-14"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10067.pdf", "filesize": [{"value": "440 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 440000.0, "url": {"url": "https://meral.edu.mm/record/4490/files/10067.pdf"}, "version_id": "79024077-161d-4401-8a4f-acfed832f233"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "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": "Win, Zin Mar"}, {"subitem_authors_fullname": "Sein, Myint Myint"}]}]}, "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": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2418"}, "item_title": "Fingerprint Recognition System based on Orientation and Texture Features", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004490", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-14"}, "publish_date": "2019-11-14", "publish_status": "0", "recid": "4490", "relation": {}, "relation_version_is_last": true, "title": ["Fingerprint Recognition System based on Orientation and Texture Features"], "weko_shared_id": -1}