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": "4c31f59d-2ed2-4c6c-b6c9-5d6de6b2261b"}, "_deposit": {"created_by": 73, "id": "6801", "owner": "73", "owners": [73], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "6801"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00006801", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper describes a framework for recognizing the handwritten Myanmar digits and characters with the help of multilayer feedforward neural network by using backpropagation algorithm. Supervised learning is used in this system. First the network is trained with several handwritings form of Myanmar digits and characters from various person and then recognized the tested new handwritings of those Myanmar digits and characters. Matlab programming language is used to implement this system."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Multilayer Feedforward Neural Network, Backpropagation Algorithm, Handwritten"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-12-14"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Framework of Handwritten Myanmar Digits and Characters Recognition.pdf", "filesize": [{"value": "496 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 496000.0, "url": {"url": "https://meral.edu.mm/record/6801/files/Framework of Handwritten Myanmar Digits and Characters Recognition.pdf"}, "version_id": "2c4cba88-5aa1-43bb-9dc9-25086d0e80cd"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "AICT", "subitem_c_date": "18/9/2008", "subitem_conference_title": "1st Conference on Applied Information and Communication Technology", "subitem_place": "UCSM"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hlaing May Tin"}]}]}, "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": "2008-09-18"}, "item_title": "A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network", "item_type_id": "21", "owner": "73", "path": ["1597397243367"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006801", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2008-09-18"}, "publish_date": "2008-09-18", "publish_status": "0", "recid": "6801", "relation": {}, "relation_version_is_last": true, "title": ["A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network"], "weko_shared_id": -1}
  1. Myanmar Institute of Information Technology
  2. Data Center

A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network

http://hdl.handle.net/20.500.12678/0000006801
http://hdl.handle.net/20.500.12678/0000006801
53145853-f0a7-42e6-b139-f09bc57bd27b
4c31f59d-2ed2-4c6c-b6c9-5d6de6b2261b
None
Preview
Name / File License Actions
Framework Framework of Handwritten Myanmar Digits and Characters Recognition.pdf (496 KB)
license.icon
Publication type
Conference paper
Upload type
Publication
Title
Title A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network
Language en
Publication date 2008-09-18
Authors
Hlaing May Tin
Description
This paper describes a framework for recognizing the handwritten Myanmar digits and characters with the help of multilayer feedforward neural network by using backpropagation algorithm. Supervised learning is used in this system. First the network is trained with several handwritings form of Myanmar digits and characters from various person and then recognized the tested new handwritings of those Myanmar digits and characters. Matlab programming language is used to implement this system.
Keywords
Multilayer Feedforward Neural Network, Backpropagation Algorithm, Handwritten
Conference papers
AICT
18/9/2008
1st Conference on Applied Information and Communication Technology
UCSM
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-12-14 10:36:53.778795
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