Name
Abstract | ||
|---|---|---|
This paper presents a novel local threshold algorithm for the binarization of document images. Stroke width of handwritten and printed characters in documents is utilized as the shape feature. As a result, in addition to the intensity analysis, the proposed algorithm introduces the stroke width as shape information into local thresholding. Experimental results for both synthetic and practical document images show that the proposed local threshold algorithm is superior in terms of segmentation quality to the threshold approaches that solely use intensity information. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.patrec.2011.09.014 | Pattern Recognition Letters |
Keywords | Field | DocType |
practical document image,proposed local threshold algorithm,novel local threshold algorithm,intensity analysis,stroke width,intensity information,threshold approach,local thresholding,proposed algorithm,document image,shape analysis | Computer vision,Pattern recognition,Segmentation,Artificial intelligence,Thresholding,Mathematics,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
33 | 1 | 0167-8655 |
Citations | PageRank | References |
7 | 0.46 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jichuan Shi | 1 | 9 | 1.43 |
| Ray Nilanjan | 2 | 541 | 55.39 |
| Hong Zhang | 3 | 582 | 74.33 |