Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "f875da96-0568-40a4-8b2c-3901c4f85680"}, "_deposit": {"id": "4867", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4867"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4867", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "CompetitiveNeural Trees (CNeT) are widely used forclassification in pattern recognition. This paper appliesthis technique for recognizing of Myanmar printedcharacter s . This paper involves three important steps,typically preprocessing, feature extraction andclassification. The aim of prepro cessing is to improvethe quality of the images for further processing . Afterpre processing, features for each character image areextracted based on Shape description. Shape is animportant visual feature and it is one of the basicfeatures used to descr ibe image content. These featurevector from word images which are used in CompetitiveNeural Trees (CNeT) for recognition purpose. Thispaper introduces a global search method 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": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eleventh International Conference On Computer Applications (ICCA 2013)", "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": "Thein, Yadana"}, {"subitem_authors_fullname": "Htike, Theingi"}]}]}, "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": "2013-02-26"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/763"}, "item_title": "Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004867", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-11"}, "publish_date": "2019-07-11", "publish_status": "0", "recid": "4867", "relation": {}, "relation_version_is_last": true, "title": ["Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees

http://hdl.handle.net/20.500.12678/0000004867
http://hdl.handle.net/20.500.12678/0000004867
9b41777b-98ae-4e0f-a925-3f3780e03055
f875da96-0568-40a4-8b2c-3901c4f85680
Publication type
Article
Upload type
Publication
Title
Title Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees
Language en
Publication date 2013-02-26
Authors
Thein, Yadana
Htike, Theingi
Description
CompetitiveNeural Trees (CNeT) are widely used forclassification in pattern recognition. This paper appliesthis technique for recognizing of Myanmar printedcharacter s . This paper involves three important steps,typically preprocessing, feature extraction andclassification. The aim of prepro cessing is to improvethe quality of the images for further processing . Afterpre processing, features for each character image areextracted based on Shape description. Shape is animportant visual feature and it is one of the basicfeatures used to descr ibe image content. These featurevector from word images which are used in CompetitiveNeural Trees (CNeT) for recognition purpose. Thispaper introduces a global search method for the CNeT,which is utilized for training.
Keywords
Myanmar printed characters, CNeT, global search method
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/763
Journal articles
Eleventh International Conference On Computer Applications (ICCA 2013)
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 15:25:23.152517
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL