{"_buckets": {"deposit": "45d3bb64-9549-4b9c-95d6-144da4c7ea80"}, "_deposit": {"id": "872", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "872"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/872", "sets": ["user-um"]}, "communities": ["um"], "control_number": "872", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "It has been studied that there is no established LPR(License Plate Recognition) to\r detect and identify the license plates from dissimilar angles. The aim of the paper\r is to detect the dissimilar angles of the license plate with the non-fixed LPR\r system. Therefore, the horizontal and vertical dilation, skew angle detection and\r automatic bounding box have been proposed to detect the license plate. The\r proposed method has been applied to the four different types of Myanmar license\r plates, e.g., private cars, taxi, tour buses and religion cars. One car each is taken\r into four different types of angles on the dissimilar conditions. Experimental\r result indicated that this method can detect the disparate types of license plates\r with a high accuracy, i.e., the proposed approach achieved a favorable outcome\r rate of 97% at 100 license plates."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "bounding box"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-05-05"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions.pdf", "filesize": [{"value": "875 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 875000.0, "url": {"url": "https://meral.edu.mm/record/872/files/License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions.pdf"}, "version_id": "256da86e-b583-49be-b736-05d9fe6e3353"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_journal_title": "21st International Computer Science and Engineering Conference (ICSEC) King Mongkut\u0027s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand"}]}, "item_1583103147082": {"attribute_name": "Conference papaers", "attribute_value_mlt": [{}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_supervisor(s)": []}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Ohnmar Khin"}, {"subitem_authors_fullname": "Phothisonothai, Montri"}, {"subitem_authors_fullname": "Choomchuay, Somsak"}]}]}, "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": "2017"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "https://umoar.mu.edu.mm/handle/123456789/315"}, "item_title": "License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions", "item_type_id": "21", "owner": "1", "path": ["1582967238313"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000000872", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-05"}, "publish_date": "2020-03-05", "publish_status": "0", "recid": "872", "relation": {}, "relation_version_is_last": true, "title": ["License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions"], "weko_shared_id": -1}