HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORK
Academics and researchers worldwide have paid close attention to biometric handwriting recognition using deep learning as much research has been proposed to enhance biometric recognition in the past and in recent years. Several solutions for character recognition systems in various languages, inclu...
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| Format: | Article |
| Language: | English |
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University of Zakho
2024-03-01
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| Series: | Science Journal of University of Zakho |
| Subjects: | |
| Online Access: | https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/1189 |
| _version_ | 1797213613404979200 |
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| author | Revella E. Armya Maiwan B. Abdulrazzaq |
| author_facet | Revella E. Armya Maiwan B. Abdulrazzaq |
| author_sort | Revella E. Armya |
| collection | DOAJ |
| description |
Academics and researchers worldwide have paid close attention to biometric handwriting recognition using deep learning as much research has been proposed to enhance biometric recognition in the past and in recent years. Several solutions for character recognition systems in various languages, including Chinese, English, Japanese, Arabic, and Kurdish have been developed. Unfortunately, there has been minimal growth in the Assyrian language. There is still little research on Assyrian handwriting. In this paper, a new Assyrian language dataset was created as part of the procedure by distributing 500 forms consisting of 36 Assyrian characters to people between the ages of 13 and 60 of both genders. The preprocessing operation includes cleaning the noisy data and segmenting each image to 224x224 pixels. This effort resulted in the collection of 18,000 images of these characters to be trained 70% and tested 30% in four CNN models, VGG16, VGG19, MobileNet-V2, and ResNet-50, over 30 epochs to give an accuracy rate of 90.97%, 92.06%, 95.70%, and 94.97%., respectively.
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| first_indexed | 2024-04-24T11:01:04Z |
| format | Article |
| id | doaj.art-b26ca5723e1043b7ac926532bb7f3174 |
| institution | Directory Open Access Journal |
| issn | 2663-628X 2663-6298 |
| language | English |
| last_indexed | 2024-04-24T11:01:04Z |
| publishDate | 2024-03-01 |
| publisher | University of Zakho |
| record_format | Article |
| series | Science Journal of University of Zakho |
| spelling | doaj.art-b26ca5723e1043b7ac926532bb7f31742024-04-11T21:56:00ZengUniversity of ZakhoScience Journal of University of Zakho2663-628X2663-62982024-03-0112110.25271/sjuoz.2024.12.1.1189HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORKRevella E. Armya 0Maiwan B. Abdulrazzaq1Technical College of Informatics, Akre, Kurdistan Region, Iraq Faculty of Science, University of Zakho, Zakho, Kurdistan Region, Iraq Academics and researchers worldwide have paid close attention to biometric handwriting recognition using deep learning as much research has been proposed to enhance biometric recognition in the past and in recent years. Several solutions for character recognition systems in various languages, including Chinese, English, Japanese, Arabic, and Kurdish have been developed. Unfortunately, there has been minimal growth in the Assyrian language. There is still little research on Assyrian handwriting. In this paper, a new Assyrian language dataset was created as part of the procedure by distributing 500 forms consisting of 36 Assyrian characters to people between the ages of 13 and 60 of both genders. The preprocessing operation includes cleaning the noisy data and segmenting each image to 224x224 pixels. This effort resulted in the collection of 18,000 images of these characters to be trained 70% and tested 30% in four CNN models, VGG16, VGG19, MobileNet-V2, and ResNet-50, over 30 epochs to give an accuracy rate of 90.97%, 92.06%, 95.70%, and 94.97%., respectively. https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/1189Deep LearningConvolutional Neural NetworkHandwritten Character RecognitionAssyrian Language |
| spellingShingle | Revella E. Armya Maiwan B. Abdulrazzaq HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORK Science Journal of University of Zakho Deep Learning Convolutional Neural Network Handwritten Character Recognition Assyrian Language |
| title | HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORK |
| title_full | HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORK |
| title_fullStr | HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORK |
| title_full_unstemmed | HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORK |
| title_short | HANDWRITTEN CHARACTER RECOGNITION IN ASSYRIAN LANGUAGE USING CONVOLUTIONAL NEURAL NETWORK |
| title_sort | handwritten character recognition in assyrian language using convolutional neural network |
| topic | Deep Learning Convolutional Neural Network Handwritten Character Recognition Assyrian Language |
| url | https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/1189 |
| work_keys_str_mv | AT revellaearmya handwrittencharacterrecognitioninassyrianlanguageusingconvolutionalneuralnetwork AT maiwanbabdulrazzaq handwrittencharacterrecognitioninassyrianlanguageusingconvolutionalneuralnetwork |