Deneysel Mod Ayrıştırması Uygulanmış Yazma Hareket Bilgisi Kullanılarak El Yazısı Karakter Tanıma

dc.contributor.author Tuncer, Esra
dc.contributor.author Olcay, Bilal Orkan
dc.contributor.author Unlu, Mehmet Zubeyir
dc.date.accessioned 2017-11-01T07:34:14Z
dc.date.available 2017-11-01T07:34:14Z
dc.date.issued 2017
dc.description.abstract In 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.identifier.citation Tunçer, 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.2017.7960527 en_US
dc.identifier.doi 10.1109/SIU.2017.7960527 en_US
dc.identifier.doi 10.1109/SIU.2017.7960527
dc.identifier.isbn 9781509064946
dc.identifier.issn 2165-0608
dc.identifier.scopus 2-s2.0-85026319123
dc.identifier.uri http://doi.org/10.1109/SIU.2017.7960527
dc.identifier.uri https://hdl.handle.net/11147/6434
dc.language.iso tr en_US
dc.publisher IEEE en_US
dc.relation.ispartof 25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY en_US
dc.relation.ispartofseries Signal Processing and Communications Applications Conference
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject 3-Axis Accelerometer en_US
dc.subject Emprical Mode Decomposition en_US
dc.subject Dynamic Time Warping en_US
dc.subject Handwritten Character Recognition en_US
dc.title Deneysel Mod Ayrıştırması Uygulanmış Yazma Hareket Bilgisi Kullanılarak El Yazısı Karakter Tanıma en_US
dc.title.alternative Handwritten Character Recognition Using Empirical Mode Decomposition Applied Writing Movements en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.wosid Olcay, Bilal/Aaj-1750-2020
gdc.author.wosid Unlu, Mehmet/Iys-9088-2023
gdc.author.wosid Tuncer, Esra/Jwo-5132-2024
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gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Electrical and Electronics Engineering en_US
gdc.description.departmenttemp [Tuncer, Esra; Olcay, Bilal Orkan; Unlu, Mehmet Zubeyir] Izmir Yuksek Teknol Enstitusu, Elekt Elekt Muhendisligi Bolumu, Izmir, Turkey en_US
gdc.description.endpage 4
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
gdc.identifier.openalex W2731812938
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local.message.claim 2023-01-27T11:42:55.296+0300 *
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