# Age, gender and handedness prediction from handwriting using gradient features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/age-gender-and-handedness-prediction-from-handwriting-using-gradient-features/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nesrine Bouadjenek,Hassiba Nemmour,Youcef Chibani |
| Citations | 54 |
| DOI | 10.1109/icdar.2015.7333934 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2144848861 |
| Type | conference-paper |
| Year | 2015 |

## Paper authors

- [Hassiba Nemmour](https://scholariq.org/researchers/hassiba-nemmour/)
- [Youcef Chibani](https://scholariq.org/researchers/youcef-chibani/)

## Paper primary topic

- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)

## Paper topics

- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

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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.