Name
Title | ||
|---|---|---|
Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement |
Abstract | ||
|---|---|---|
•A Generative Adversarial Network for handwritten document image binarization.•We perform document binarization while ensuring text readability, simultaneously, by integrating a handwritten text recognition component within the proposed architecture.•The proposed model enhances different forms of documents, independently of the text language.•We achieve state-of-the-art performance on the public H-DIBCO datasets. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2021.108370 | Pattern Recognition |
Keywords | DocType | Volume |
Handwritten document image binarization,Document enhancement,Handwriting text recognition,Generative adversarial networks,Recurrent neural networks | Journal | 123 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sana Khamekhem Jemni | 1 | 0 | 0.34 |
| Mohamed Ali Souibgui | 2 | 0 | 0.34 |
| Yousri Kessentini | 3 | 100 | 15.39 |
| Alicia Fornés | 4 | 563 | 48.56 |