A Method of Annotation Extraction from Paper Documents Using Alignment Based on Local Arrangements of Feature Points
| Language | English |
|---|---|
| Type | Proceedings of International Conferences |
| Authors | Tomohiro Nakai, Koichi Kise, Masakazu Iwamura |
| Title | A Method of Annotation Extraction from Paper Documents Using Alignment Based on Local Arrangements of Feature Points |
| Journal | Proc. 9th International Conference on Document Analysis and Recognition (ICDAR2007) |
| Vol. | 1 |
| Pages | pp.23-27 |
| Location | Curitiba, Brazil |
| Reviewed | Reviewed |
| Date | September 2007 |
| Research fields | Document Image Analysis, Document Image Retrieval |
| DOI | 10.1109/ICDAR.2007.4378669 |
| Key | Nakai2007_ICDAR (id=996) |
Abstract
Annotations on paper documents include important information. We can exploit the information by extracting and analyzing annotations. In this paper, we propose a method of annotation extraction from paper documents. Unlike previous methods which limit colors or types of annotations to be extracted, the proposed method attempts to extract annotations by comparing a document image of an annotated document with its original document image for removing the limitations. The proposed method is characterized by fast matching and flexible subtraction of images both of which are essential to the annotation extraction by comparison. Experimental results have shown that color annotations can be extracted from color documents.
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