Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6434
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTuncer, Esra-
dc.contributor.authorOlcay, Bilal Orkan-
dc.contributor.authorUnlu, Mehmet Zubeyir-
dc.date.accessioned2017-11-01T07:34:14Z
dc.date.available2017-11-01T07:34:14Z
dc.date.issued2017-
dc.identifier.citationTunçer, E., Olcay, B. O., and Ünlü, M. Z. (2017, May 15-18). Deneysel mod ayrıştırması uygulanmış yazma hareket bilgisi kullanılarak el yazısı karakter tanıma. Paper presented at the 25th Signal Processing and Communications Applications Conference. doi:10.1109/SIU.2017.7960527en_US
dc.identifier.isbn9781509064946-
dc.identifier.issn2165-0608-
dc.identifier.urihttp://doi.org/10.1109/SIU.2017.7960527-
dc.description.abstractIn this paper, handwritten character recognition by using characters' writing movements is investigated. To obtain the information about writing movements a 3-axis accelerometer is used. Just like most of other sensors, 3-axis accelerometers give the actual movement signal as well as noise. Before the recognition step, all of the signals need to be preprocessed and the noisy parts need to be removed. So, Empirical Mode Decomposition (EMD) and normalization preprocessing steps are applied to the signals. Finally, the signals in the dataset are compared with Dynamic Time Warping for classification and accurate classification rate of 91.92% is obtained.en_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference-
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3-Axis Accelerometeren_US
dc.subjectEmprical Mode Decompositionen_US
dc.subjectDynamic Time Warpingen_US
dc.subjectHandwritten Character Recognitionen_US
dc.titleDeneysel Mod Ayrıştırması Uygulanmış Yazma Hareket Bilgisi Kullanılarak El Yazısı Karakter Tanımaen_US
dc.title.alternativeHandwritten Character Recognition Using Empirical Mode Decomposition Applied Writing Movementsen_US
dc.typeConference Objecten_US
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.wosWOS:000413813100390-
dc.identifier.scopus2-s2.0-85026319123-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/SIU.2017.7960527-
dc.relation.doi10.1109/SIU.2017.7960527en_US
local.message.claim2023-01-27T11:42:55.296+0300*
local.message.claim|rp02429*
local.message.claim|submit_approve*
local.message.claim|dc_contributor_author*
local.message.claim|None*
dc.authorwosidOlcay, Bilal/Aaj-1750-2020-
dc.authorwosidUnlu, Mehmet/Iys-9088-2023-
dc.authorwosidTuncer, Esra/Jwo-5132-2024-
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityN/A-
dc.description.woscitationindexConference Proceedings Citation Index - Science-
item.fulltextWith Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1tr-
crisitem.author.dept01.01. Units Affiliated to the Rectorate-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File Description SizeFormat 
6434.pdfConference Paper351.62 kBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.