# The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-effective-use-of-the-one-class-svm-classifier-for-handwritten-signature/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yasmine Guerbai,Youcef Chibani,Bilal Hadjadji |
| Citations | 229 |
| DOI | 10.1016/j.patcog.2014.07.016 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2093804096 |
| Type | article |
| Year | 2014 |

## Paper authors

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

## 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/)
- [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.