Name
Abstract | ||
|---|---|---|
The increasing availability of high performance, lowpriced, portable digital imaging devices has created atremendous opportunity for supplementing traditionalscanning for document image acquisition. Digitalcameras attached to cellular phones, PDAs, or asstandalone still or video devices are highly mobile andeasy to use; they can capture images of any kind ofdocument including very thick books, historical pages toofragile to touch, and text in scenes; and they are muchmore versatile than desktop scanners. Should robustsolutions to the analysis of documents captured with suchdevices become available, there is clearly a demand frommany domains. Traditional scanner-based documentanalysis techniques provide us with a good reference andstarting point, but they cannot be used directly oncamera-captured images. Camera captured images cansuffer from low resolution, blur, and perspectivedistortion, as well as complex layout and interaction ofthe content and background. In this paper we present asurvey of application domains, technical challenges andsolutions for recognizing documents captured by digitalcameras. We begin by describing typical imaging devicesand the imaging process. We discuss document analysisfrom a single camera-captured image as well as multipleframes and highlight some sample applications underdevelopment and feasible ideas for future development. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICDAR.2003.1227735 | ICDAR-1 |
Keywords | Field | DocType |
digital image,low resolution,image processing,image recognition,optical character recognition | Computer vision,Digital photography,Digital camera back,Image sensor,Computer graphics (images),Computer science,Optical character recognition,Image processing,Digital image,Digital imaging,Artificial intelligence,Digital image processing | Conference |
ISSN | ISBN | Citations |
1520-5363 | 0-7695-1960-1 | 90 |
PageRank | References | Authors |
5.79 | 46 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Doermann | 1 | 4313 | 312.70 |
| Jian Liang | 2 | 139 | 14.55 |
| Huiping Li | 3 | 574 | 38.28 |