DocumentCode :
2020792
Title :
A Method of Annotation Extraction from Paper Documents Using Alignment Based on Local Arrangements of Feature Points
Author :
Nakai, Tomoo ; Kise, Kenji ; Iwamura, Mikio
Author_Institution :
Osaka Prefecture Univ., Sakai
Volume :
1
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
23
Lastpage :
27
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.
Keywords :
document image processing; feature extraction; image matching; annotation extraction; document image processing; fast point matching; feature point arrangement; image subtraction; paper document; Colored noise; Data mining; Design methodology; Image analysis; Image recognition; Indexing; Information analysis; Spatial databases; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4378669
Filename :
4378669
Link To Document :
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