# Local descriptors to improve off-line handwriting-based gender prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/local-descriptors-to-improve-off-line-handwriting-based-gender-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nesrine Bouadjenek,Hassiba Nemmour,Youcef Chibani |
| Citations | 39 |
| DOI | 10.1109/socpar.2014.7007979 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2021205210 |
| Type | conference-paper |
| Year | 2014 |

## Paper authors

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

## 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/)
- [Authorship Attribution and Profiling](https://scholariq.org/topics/authorship-attribution-and-profiling/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

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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.