# Arabic Handwritten Recognition Using Deep Learning: A Survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/arabic-handwritten-recognition-using-deep-learning-a-survey/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Naseem Alrobah,Saleh Albahli |
| Citations | 62 |
| DOI | 10.1007/s13369-021-06363-3 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4207029058 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Saleh Albahli](https://scholariq.org/researchers/saleh-albahli/)

## 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/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)
- [Image Processing and 3D Reconstruction](https://scholariq.org/topics/image-processing-and-3d-reconstruction/)

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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.