MERAL Myanmar Education Research and Learning Portal
Item
{"_buckets": {"deposit": "7b5cca3b-8c63-4850-ba8b-52effd661b44"}, "_deposit": {"id": "3605", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3605"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3605", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Off-line Myanmar Character Recognition based on Competitive Neural Trees", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Neural network classifier methods and decision treesare widely used in various pattern recognitionresearch areas. Among them, printed characterrecognition still faces some issues in all languages.Myanmar sentences character recognition based onCompetitive Neural Trees (CNeT) is proposed in thispaper. CNeT performs hierarchical classification andapply competitive unsupervised learning at nodelabel. The goals of Myanmar character recognitionare to obtain better recognition accuracy rate androbust in geometric character shapes of differentstyles. Three main steps such as preprocessing, shapefeature descriptors extraction and recognition areimplemented in our experiment. Shape featuredescriptors are extracted from preprocessed imageswhich are used in Competitive Neural Trees (CNeT)recognition. This paper discusses a global searchmethod for the CNeT, which is utilized for training."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Myanmar printed characters"}, {"interim": "CNeT"}, {"interim": "global search method"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-03"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "12048.pdf", "filesize": [{"value": "696 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 696000.0, "url": {"url": "https://meral.edu.mm/record/3605/files/12048.pdf"}, "version_id": "715fc781-dd81-4280-bb0f-f24c718075b4"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Twelfth International Conference On Computer Applications (ICCA 2014)", "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": "Htike, Theingi"}, {"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": "2014-02-17"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/134"}, "item_title": "Off-line Myanmar Character Recognition based on Competitive Neural Trees", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003605", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "3605", "relation": {}, "relation_version_is_last": true, "title": ["Off-line Myanmar Character Recognition based on Competitive Neural Trees"], "weko_shared_id": -1}
Off-line Myanmar Character Recognition based on Competitive Neural Trees
http://hdl.handle.net/20.500.12678/0000003605
http://hdl.handle.net/20.500.12678/0000003605aa12da89-8fe5-4f8d-b596-dd678dad8cd7
7b5cca3b-8c63-4850-ba8b-52effd661b44
Name / File | License | Actions |
---|---|---|
12048.pdf (696 Kb)
|
|
Publication type | ||||||
---|---|---|---|---|---|---|
Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Off-line Myanmar Character Recognition based on Competitive Neural Trees | |||||
Language | en | |||||
Publication date | 2014-02-17 | |||||
Authors | ||||||
Htike, Theingi | ||||||
Thein, Yadana | ||||||
Description | ||||||
Neural network classifier methods and decision treesare widely used in various pattern recognitionresearch areas. Among them, printed characterrecognition still faces some issues in all languages.Myanmar sentences character recognition based onCompetitive Neural Trees (CNeT) is proposed in thispaper. CNeT performs hierarchical classification andapply competitive unsupervised learning at nodelabel. The goals of Myanmar character recognitionare to obtain better recognition accuracy rate androbust in geometric character shapes of differentstyles. Three main steps such as preprocessing, shapefeature descriptors extraction and recognition areimplemented in our experiment. Shape featuredescriptors are extracted from preprocessed imageswhich are used in Competitive Neural Trees (CNeT)recognition. This paper discusses a global searchmethod for the CNeT, which is utilized for training. | ||||||
Keywords | ||||||
Myanmar printed characters, CNeT, global search method | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/134 | |||||
Journal articles | ||||||
Twelfth International Conference On Computer Applications (ICCA 2014) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |