{"created":"2020-09-01T13:08:00.940730+00:00","id":3550,"links":{},"metadata":{"_buckets":{"deposit":"d9ed408f-ad30-4d8e-b17f-d70bb0499e0b"},"_deposit":{"id":"3550","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3550"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3550","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Handwritten Character Recognition using Morphological Operators with Competitive Neural Trees","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"In this paper an attempt is made to developMyanmar handwritten character recognitionsystem. Character recognition is an importantarea in image processing and patternrecognition fields. The aim of characterrecognition is to translate human readablecharacters to machine readable characters. Thepaper describes the process of characterrecognition using morphological operators withthe competitive neural trees. The morphologicaloperators are used to extract the edge of eachcharacter image. Then, competitive neural trees(CNeT) are used for classification. It is one ofthe fast supervised neural networks with highperformance. The main advantage of the CNeT isits structured, self-organizing architecture thatallows for short learning and recall times. Highspeed recognition rates can be gained by usingCNeT."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"CNeT"},{"interim":"Myanmar handwritten characters"},{"interim":"morphological edge extraction"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-03"}],"displaytype":"preview","filename":"9033.pdf","filesize":[{"value":"763 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3550/files/9033.pdf"},"version_id":"e732ce81-c59a-4e16-9d12-4433dda6055b"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Ninth International Conference On Computer Applications (ICCA 2011)","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":"2011-05-05"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/129"},"item_title":"Handwritten Character Recognition using Morphological Operators with Competitive Neural Trees","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-03","publish_status":"0","recid":"3550","relation_version_is_last":true,"title":["Handwritten Character Recognition using Morphological Operators with Competitive Neural Trees"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T06:14:14.983586+00:00"}