# Hybrid combination of Convolutional Neural Network Features for Robust Writer Retrieval of Historical Documents

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-combination-of-convolutional-neural-network-features-for-robust-writer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohamed Lamine Bouibed,Hassiba Nemmour,Youcef Chibani,Adel Hafiane |
| Citations | 1 |
| DOI | 10.1109/aiccsa50499.2020.9316528 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3127322131 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Mohamed Lamine Bouibed](https://scholariq.org/researchers/mohamed-lamine-bouibed/)

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