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

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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:19th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2024
المؤلف الرئيسي: Sukiman S.A.; Husin N.A.; Hamdan H.; Murad M.A.A.
التنسيق: Conference paper
اللغة:English
منشور في: Institute of Electrical and Electronics Engineers Inc. 2024
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216562911&doi=10.1109%2fiSAI-NLP64410.2024.10799245&partnerID=40&md5=94ad7c5e822a95e47c2061ced489ffc5

الانترنت

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216562911&doi=10.1109%2fiSAI-NLP64410.2024.10799245&partnerID=40&md5=94ad7c5e822a95e47c2061ced489ffc5

مواد مشابهة