Name
Abstract | ||
|---|---|---|
A method based on connected area detection is developed to segment and recognize dimension texts in engineering drawings. First we propose an effective algorithm to find all connected areas from drawing image. Then we use size criteria to find out character candidates from all connected areas and use collinear criteria to group separate character candidates into text strings. Finally we analyze text strings according to text patterns summarized from dimension texts and give out the recognition result |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICDAR.1995.599050 | ICDAR-1 |
Keywords | Field | DocType |
separate character candidate,engineering drawings,recognition,connected area detection,collinear criteria,effective algorithm,image segmentation,segmentation,collinear criterion,character candidate,character candidates,text pattern,text string,engineering graphics,dimension text,text strings,dimension texts,connected area,document image processing,engineering drawing,testing,pixel,word segmentation,computer science,shape,text analysis | Engineering drawing,Computer science,Document image processing,Image representation,Image segmentation,Artificial intelligence,Computer vision,Text mining,Character recognition,Pattern recognition,Segmentation,Pixel,Text recognition | Conference |
Volume | ISBN | Citations |
1 | 0-8186-7128-9 | 7 |
PageRank | References | Authors |
0.79 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingbo Gao | 1 | 53 | 6.49 |
| Long Tang | 2 | 7 | 0.79 |
| Liu Wenyin | 3 | 2531 | 215.13 |
| Zesheng Tang | 4 | 149 | 28.27 |