DocumentCode :
2142517
Title :
Retrieval of Envelope Images Using Graph Matching
Author :
Liu, Li ; Lu, Yue ; Suen, Ching Y.
Author_Institution :
Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
99
Lastpage :
103
Abstract :
A graph matching approach is proposed to retrieve envelope images from a large image database. First, the graph representation of an envelop image is generated based on the image segmentation results, in which each node corresponds to one segmented region. The attributes of nodes and edges in the graph are described by characteristics of the envelope image. Second, a minimum weighted bipartite graph matching method is employed to compute the distance between two graphs. Finally, the whole retrieval system including two principal stages is presented, namely, rough matching and fine matching. The experiments on a database of envelope images captured from real-life mail pieces demonstrate that the proposed method achieves promising results.
Keywords :
document image processing; graph theory; image retrieval; image segmentation; pattern matching; envelope image retrieval; fine matching; graph representation; image segmentation; minimum weighted bipartite graph matching method; rough matching; Accuracy; Image edge detection; Image retrieval; Image segmentation; Pattern recognition; Vectors; Envelope image retrieval; graph matching; graph representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
ISSN :
1520-5363
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2011.29
Filename :
6065284
Link To Document :
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