{"_buckets": {"deposit": "b9d886ec-8a98-443c-8a36-cf09374ec7f5"}, "_deposit": {"created_by": 45, "id": "6186", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "6186"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/6186", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "ASEAN Child Face Recognition System with FaceNet", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Current researches show that deep\nlearning is the state-of-art techniques in\nmachine learning which outperform the\nhuman level performance. It is also the\npopular technique which gives high accuracy\nin computer vision. Face recognition is one of\nthe ongoing researches in biometric\nauthentication and identification system. In\nthis paper, we develop ASEAN child face\nrecognition system using FaceNet. We use\nFaceNet as feature extractions, dlib as\npreprocessing and classifier as K-Nearest\nNeighbors (KNN). FaceNet produces 128\nembeddings per face as feature vectors and\ncalculate Euclidean distance between faces in\norder to measure face similarity. The\nproposed system achieves state-of-art face\nrecognition performance on ASEAN child\nface dataset with high accuracy."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Face Recognition KNN"}, {"interim": "FaceNet"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-11-17"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "ASEAN Child Face Recognition System with FaceNet.pdf", "filesize": [{"value": "2.2 Mb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 2200000.0, "url": {"url": "https://meral.edu.mm/record/6186/files/ASEAN Child Face Recognition System with FaceNet.pdf"}, "version_id": "f044c3a1-eb45-4ef4-98ee-787bfb407797"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "MURC", "subitem_c_date": "24-25 June, 2019", "subitem_conference_title": "MYANMAR UNIVERSITIES\u0027 RESEARCH CONFERENCE 2019", "subitem_place": "Yangon, Myanmar"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Shun Lei Myat Oo"}, {"subitem_authors_fullname": "Aung Nway Oo"}]}]}, "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": "2019-06-25"}, "item_title": "ASEAN Child Face Recognition System with FaceNet", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006186", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-11-17"}, "publish_date": "2020-11-17", "publish_status": "0", "recid": "6186", "relation": {}, "relation_version_is_last": true, "title": ["ASEAN Child Face Recognition System with FaceNet"], "weko_shared_id": -1}