Year 2021, Volume 8 , Issue 2, Pages 133 - 140 2021-06-30

A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques

Hakan KOYUNCU [1]


This study aims to analyze the effects of noise, image filtering, and edge detection techniques in the preprocessing phase of character recognition by using a large set of character images exported from MNIST database trained with various sizes of neural networks. Canny edge detection algorithm was deployed to smooth the edges of the images while the Sobel edge detection algorithm was used to detect the edges of the images. Skeletonization algorithm was applied to re-shape the structural shapes. In the context of the image filtering, the Laplacian filter was utilized to enhance the images and High pass filtering was used to highlight the fine details in blurred images. Gaussian noise, image noise with Gaussian intensity, function in Matlab with the probability density function P was deployed on character images of MINST. Pattern recognition neural networks are widely used in optical character recognition. Feedforward neural networks are deployed in this study. A comprehensive analysis of the above-mentioned image processing techniques is included during character recognition. Improved accuracy is observed with character recognition during the prediction phase of the neural networks. A sample of unknown characters is tested with the application of High pass filtering + feedforward neural network and 89%, the highest, average output prediction accuracy was obtained. Other prediction accuracies were also tabulated for the reader’s attention.
Artificial intelligence (AI), edge detection, feature extraction, gradient, hidden layer, image correlation, image filtering, noise, optical character recognition (OCR), pattern recognition
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Primary Language en
Subjects Engineering
Journal Section Research Article
Authors

Orcid: 0000-0002-8444-1094
Author: Hakan KOYUNCU (Primary Author)
Institution: ALTINBAS UNIVERSITY
Country: Turkey


Thanks Please read Cover letter
Dates

Application Date : February 8, 2021
Acceptance Date : May 23, 2021
Publication Date : June 30, 2021

Bibtex @research article { hjse876900, journal = {Hittite Journal of Science and Engineering}, issn = {}, eissn = {2148-4171}, address = {Hitit Üniversitesi Mühendislik Fakültesi Kuzey Kampüsü Çevre Yolu Bulvarı 19030 Çorum / TÜRKİYE}, publisher = {Hitit University}, year = {2021}, volume = {8}, pages = {133 - 140}, doi = {10.17350/HJSE19030000223}, title = {A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques}, key = {cite}, author = {Koyuncu, Hakan} }
APA Koyuncu, H . (2021). A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques . Hittite Journal of Science and Engineering , 8 (2) , 133-140 . DOI: 10.17350/HJSE19030000223
MLA Koyuncu, H . "A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques" . Hittite Journal of Science and Engineering 8 (2021 ): 133-140 <https://dergipark.org.tr/en/pub/hjse/issue/63382/876900>
Chicago Koyuncu, H . "A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques". Hittite Journal of Science and Engineering 8 (2021 ): 133-140
RIS TY - JOUR T1 - A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques AU - Hakan Koyuncu Y1 - 2021 PY - 2021 N1 - doi: 10.17350/HJSE19030000223 DO - 10.17350/HJSE19030000223 T2 - Hittite Journal of Science and Engineering JF - Journal JO - JOR SP - 133 EP - 140 VL - 8 IS - 2 SN - -2148-4171 M3 - doi: 10.17350/HJSE19030000223 UR - https://doi.org/10.17350/HJSE19030000223 Y2 - 2021 ER -
EndNote %0 Hittite Journal of Science and Engineering A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques %A Hakan Koyuncu %T A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques %D 2021 %J Hittite Journal of Science and Engineering %P -2148-4171 %V 8 %N 2 %R doi: 10.17350/HJSE19030000223 %U 10.17350/HJSE19030000223
ISNAD Koyuncu, Hakan . "A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques". Hittite Journal of Science and Engineering 8 / 2 (June 2021): 133-140 . https://doi.org/10.17350/HJSE19030000223
AMA Koyuncu H . A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques. Hittite J Sci Eng. 2021; 8(2): 133-140.
Vancouver Koyuncu H . A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques. Hittite Journal of Science and Engineering. 2021; 8(2): 133-140.
IEEE H. Koyuncu , "A Comparative Study of Handwritten Character Recognition by using Image Processing and Neural Network Techniques", Hittite Journal of Science and Engineering, vol. 8, no. 2, pp. 133-140, Jun. 2021, doi:10.17350/HJSE19030000223