Year 2019, Volume 5, Issue 1, Pages 1 - 5 2019-03-29

Handwritten Character Recognition by using Convolutional Deep Neural Network; Review

Baki Koyuncu [1] , Hakan Koyuncu [2]

79 174

Handwritten character recognition is an important domain of research with implementation in varied fields.  Past and recent works in this field focus on diverse languages to utilize the character recognition in automated data-entry applications. Deep Neural network studies recognize the individual characters in the form images. The reliance of each recognition, which is provided by the neural network as part of the ranking result, is one of the things used to customize the implementation to the request of the client. Convolutional Deep neural network model is reviewed to recognize the handwritten characters in this study. This model, initially, learned a useful set of support by using core and local receptive areas and then a densely connected network layers are employed for the discernment task.  
Handwritten Character Recognition, Deep Neural Network (DNN), Deep Convolutional Neural Network (DCNN)
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Primary Language en
Subjects Engineering
Journal Section Makaleler
Authors

Author: Baki Koyuncu

Orcid: 0000-0002-8444-1094
Author: Hakan Koyuncu (Primary Author)
Institution: ISTANBUL GELISIM UNIVERSITY
Country: Turkey


Dates

Publication Date: March 29, 2019

Bibtex @research article { ijet528775, journal = {International Journal of Engineering Technologies IJET}, issn = {2149-0104}, eissn = {2149-5262}, address = {İstanbul Gelisim University}, year = {2019}, volume = {5}, pages = {1 - 5}, doi = {10.19072/ijet.528775}, title = {Handwritten Character Recognition by using Convolutional Deep Neural Network; Review}, key = {cite}, author = {Koyuncu, Baki and Koyuncu, Hakan} }
APA Koyuncu, B , Koyuncu, H . (2019). Handwritten Character Recognition by using Convolutional Deep Neural Network; Review. International Journal of Engineering Technologies IJET, 5 (1), 1-5. Retrieved from http://dergipark.org.tr/ijet/issue/44104/528775
MLA Koyuncu, B , Koyuncu, H . "Handwritten Character Recognition by using Convolutional Deep Neural Network; Review". International Journal of Engineering Technologies IJET 5 (2019): 1-5 <http://dergipark.org.tr/ijet/issue/44104/528775>
Chicago Koyuncu, B , Koyuncu, H . "Handwritten Character Recognition by using Convolutional Deep Neural Network; Review". International Journal of Engineering Technologies IJET 5 (2019): 1-5
RIS TY - JOUR T1 - Handwritten Character Recognition by using Convolutional Deep Neural Network; Review AU - Baki Koyuncu , Hakan Koyuncu Y1 - 2019 PY - 2019 N1 - DO - T2 - International Journal of Engineering Technologies IJET JF - Journal JO - JOR SP - 1 EP - 5 VL - 5 IS - 1 SN - 2149-0104-2149-5262 M3 - UR - Y2 - 2019 ER -
EndNote %0 International Journal of Engineering Technologies IJET Handwritten Character Recognition by using Convolutional Deep Neural Network; Review %A Baki Koyuncu , Hakan Koyuncu %T Handwritten Character Recognition by using Convolutional Deep Neural Network; Review %D 2019 %J International Journal of Engineering Technologies IJET %P 2149-0104-2149-5262 %V 5 %N 1 %R %U
ISNAD Koyuncu, Baki , Koyuncu, Hakan . "Handwritten Character Recognition by using Convolutional Deep Neural Network; Review". International Journal of Engineering Technologies IJET 5 / 1 (March 2019): 1-5.
AMA Koyuncu B , Koyuncu H . Handwritten Character Recognition by using Convolutional Deep Neural Network; Review. IJET. 2019; 5(1): 1-5.
Vancouver Koyuncu B , Koyuncu H . Handwritten Character Recognition by using Convolutional Deep Neural Network; Review. International Journal of Engineering Technologies IJET. 2019; 5(1): 5-1.