Name
Title | ||
|---|---|---|
Historical Document Image Binarization Using Background Estimation And Energy Minimization |
Abstract | ||
|---|---|---|
This paper presents an enhanced historical document image binarization technique that makes use of background estimation and energy minimization. Given a degraded historical document image, mathematical morphology is first carried out to compensate the document background with a disk-shaped mask, whose size is determined by the stroke width transform (SWT). The Laplacian energy based segmentation is then performed on the enhanced document image. Finally, the post-processing is further applied to improve the binarization results. The proposed technique has been extensively evaluated over the recent DIBCO and H-DIBCO benchmark datasets. Experimental results show that our proposed method outperforms other state-of-the-art document image binarization techniques. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICPR.2018.8546099 | 2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) |
Keywords | Field | DocType |
Historical document image binarization, document background estimation, stroke width transform (SWT), Laplacian energy minimization | Computer vision,Pattern recognition,Segmentation,Mathematical morphology,Computer science,Minification,Artificial intelligence,Grayscale,Historical document,Laplace operator,Energy minimization | Conference |
ISSN | Citations | PageRank |
1051-4651 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Xiong | 1 | 0 | 1.35 |
| Xiuhong Jia | 2 | 0 | 0.34 |
| Jingjing Xu | 3 | 0 | 3.38 |
| Zijie Xiong | 4 | 0 | 0.34 |
| Min Liu | 5 | 56 | 16.44 |
| Juan Wang | 6 | 109 | 27.00 |