# Comparing CNN-based Architectures for Dysgraphia Handwriting Classification Performance

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparing-cnn-based-architectures-for-dysgraphia-handwriting-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Siti Azura Ramlan,Iza Sazanita Isa,Muhammad Khusairi Osman,Ahmad Puad Ismail,Zainal Hisham Che Soh |
| Citations | 7 |
| DOI | 10.47836/pjst.32.5.05 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | http://www.pertanika.upm.edu.my/resources/files/Pertanika PAPERS/JST Vol. 32 (5) Aug. 2024/05 JST-4707-2023.pdf |
| OpenAlex ID | https://openalex.org/W4401401534 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Siti Azura Ramlan](https://scholariq.org/researchers/siti-azura-ramlan/)

## Paper journal

- [Pertanika journal of science & technology](https://scholariq.org/journals/pertanika-journal-of-science-and-technology/)

## Paper primary topic

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)

## Paper topics

- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.