DocumentCode :
2021744
Title :
A Review of Shape Descriptors for Document Analysis
Author :
Terrades, O. Ramos ; Tabbone, S. ; Valveny, E.
Author_Institution :
Univ. Automa de Barcelona, Barcelona
Volume :
1
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
227
Lastpage :
231
Abstract :
Shape descriptors play an important role in many document analysis application. In this paper we review some of the shape descriptors proposed in the last years from a new point of view. We propose the definitions of descriptor and primitive and introduce the notion of feature extraction method. With these definitions, we propose a new classification of shape descriptors that permits to classify according to their properties pointing out their strengths and weaknesses.
Keywords :
document image processing; feature extraction; pattern classification; document analysis; feature extraction; pattern classification; shape descriptors; Character recognition; Computer vision; Feature extraction; Gray-scale; Image reconstruction; Shape measurement; Taxonomy; Terminology; Text analysis; Tree data structures;
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.2007.4378709
Filename :
4378709
Link To Document :
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