Name
Abstract | ||
|---|---|---|
This paper presents a performance metric for the document structure extraction algorithms by finding the correspondences between detected entities and ground truth. We describe a method for determining an algorithm's optimal tuning parameters. We evaluate a group of document layout analysis algorithms on 1600 images from the UW-III Document Image Database, and the quantitative performance measures in terms of the rates of correct, miss, false, merging, splitting, and spurious detections are reported. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1006/cviu.2001.0933 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
document structure extraction algorithm,performance evaluation,document structure,document layout analysis,ground truth | Data mining,Computer science,Optimal tuning,Document layout analysis,Performance metric,Document Structure Description,Algorithm,Ground truth,Image database,Merge (version control),Spurious relationship | Journal |
Volume | Issue | ISSN |
84 | 1 | Computer Vision and Image Understanding |
Citations | PageRank | References |
14 | 1.30 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jisheng Liang | 1 | 85 | 11.35 |
| Ihsin T. Phillips | 2 | 355 | 37.57 |
| Robert M. Haralick | 3 | 10262 | 2605.93 |