Text segmentation for automatic document processing
| Autor: | Wee Leng Goh, Dinesh P. Mital |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
business.industry
Computer science Text segmentation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Optical character recognition Image segmentation computer.software_genre Document processing Automatic image annotation Digital image processing ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Computer vision Artificial intelligence Document retrieval business computer Document layout analysis Feature detection (computer vision) |
| Zdroj: | Document Recognition and Retrieval |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.335819 |
| Popis: | There is a considerable interest in designing automatic systems that can scan a given paper document and store it on electronic media for easier storage, manipulation and access. Most documents contain graphics and images, in addition to text. Thus, the document image has to be segmented to identify text and image regions, so that appropriate techniques may be applied to those regions. In this paper, we have presented a new technique for image segmentation in which text and image regions, in a given document image, are automatically identified. The technique is based on the differential processing text extraction concept. The proposed technique is capable of analyzing complex document image layouts. The document image is processed by using textural feature analysis. Results of the proposed method are presented with test images which demonstrate the robustness of the technique. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|