Abstract
Text data presented in images and video contains useful and important semantic information for semantic-based image retrieval system. In this paper, a method is proposed for text detection based on fuzzy logic and homogeneity. First, the original images is fuzzified based on the maximum entropy principle. Then edge and textural information is extracted to evaluate the homogeneity of image which is transformed to fuzzy homogeneity domain. Finally text region is confirmed with texture analysis in fuzzy homogeneity domain. Experimental results confirm that the proposed method achieves better performance in complex background and is applicable to various kinds of video and images.
| Original language | English |
|---|---|
| Pages (from-to) | 1376-1380 |
| Number of pages | 5 |
| Journal | Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology |
| Volume | 30 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2008 |
| Externally published | Yes |
Keywords
- Fuzzy logic
- Homogeneity
- Text detection
- Texture analysis
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