# Dysgraphia Handwriting Image Augmentation for CNN Model Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dysgraphia-handwriting-image-augmentation-for-cnn-model-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nurhani Harun,Iza Sazanita Isa,Siti Azura Ramlan,Muhammad Khusairi Osman,Mohd Ikmal Fitri Maruzuki |
| Citations | 4 |
| DOI | 10.1109/iccsce61582.2024.10696383 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4403060625 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

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

## 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/)

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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.