Name
Abstract | ||
|---|---|---|
This paper presents a method for improving the quality of degraded documents by noise removal and text enhancing. Histogram of a degraded document is analyzed to find out the approximate ranges of gray-value for text-, graph-, (i.e. photographs), and background-pixels. After the graph-pixels are identified, they are replaced by the background pixels. Agent-growing method described by S. H. Yen and M. C. Shih (2000) is then applied to smooth the noisy background and a document with clear readable condition for text and background is obtained. At last, graph pixels are recovered to get the final result such that the degraded document now has the text in much better quality and photographs preserved if there is any. Experiments to verify the efficacy of the proposed method and comparison to some existing techniques are also presented. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/MULMM.2004.1264984 | MMM |
Keywords | Field | DocType |
thenoisy background,existing technique,gray-value,noise,noise removal,background pixel,character recognition,degraded documents,clear readablecondition,histogram,background pixels,feature extraction,degraded document,graph pixels,final result,text analysis,photograph pixels,software agents,text enhancing,quality ofdegraded document,thedegraded document,agent-growing method | Histogram,Computer vision,Graph,Text mining,Pattern recognition,Character recognition,Computer science,Software agent,Feature extraction,Pixel,Artificial intelligence,Noise removal | Conference |
ISBN | Citations | PageRank |
0-7695-2084-7 | 0 | 0.34 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shwu-huey Yen | 1 | 42 | 9.07 |
| Yi-Jin Chen | 2 | 13 | 3.46 |
| Hui-Jen Lin | 3 | 0 | 0.34 |
| Chia-Jen Wang | 4 | 17 | 3.25 |