A Method of Annotation Extraction from Documents Using Alignment Based on Local Arrangements of Feature Points

LanguageJapanese
TypeProceedings of Japanese Conferences
AuthorsTomohiro Nakai, Koichi Kise, Masakazu Iwamura
TitleA Method of Annotation Extraction from Documents Using Alignment Based on Local Arrangements of Feature Points
Journal電子情報通信学会技術研究報告
Vol.106
Presentation numberPRMU2006-245
Pagespp.61-66
ReviewedNot reviewed
DateMarch 2007
Research fieldsDocument Image Analysis, Pattern recognition, Document Image Retrieval
KeyNakai2007_PRMU (id=965)

Abstract

Annotations on paper documents include important information, which can be exploited by their extraction and analysis. In this report, we propose a method of annotation extraction from paper documents. In the proposed method, annotations are extracted by comparing a document image of an annotated document captured using a scanner and its original document image. The proposed method is characterized by precise matching and flexible subtraction of images. Experimental results have shown that annotations can be extracted using the proposed method with 76% accuracy in the cases of color documents and 94% accuracy in the cases of monochrome documents.

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