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...

書目詳細資料
發表在:	19th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2024
主要作者:	Sukiman S.A.; Husin N.A.; Hamdan H.; Murad M.A.A.
格式:	Conference paper
語言:	English
出版:	Institute of Electrical and Electronics Engineers Inc. 2024
在線閱讀:	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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