Handwriting Image Classification for Automated Diagnosis of Learning Disabilities: A Review on Deep Learning Models and Future Directions

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Handwriting Image Classification for Automated Diagnosis of Learning Disabilities: A Review on Deep Learning Models and Future Directions

This study reviews deep learning models used in handwriting image classification for the automated diagnosis of learning disabilities. By addressing handwriting diversity and misclassification challenges, two models were highlighted: Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs...

書誌詳細
出版年:	19th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2024
第一著者:	Sukiman S.A.; Husin N.A.; Hamdan H.; Murad M.A.A.
フォーマット:	Conference paper
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216562911&doi=10.1109%2fiSAI-NLP64410.2024.10799245&partnerID=40&md5=94ad7c5e822a95e47c2061ced489ffc5

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