DocumentCode :
3327760
Title :
Graphical symbol retrieval using a branch and bound algorithm
Author :
Nayef, Nibal ; Breuel, Thomas M.
Author_Institution :
Tech. Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
2153
Lastpage :
2156
Abstract :
Graphical symbol spotting and retrieval in document images is an important sub-field in document analysis. This paper presents a branch and bound algorithm for spotting a queried graphical symbol in documents. The technique utilizes geometric primitives as feature points. The preprocessing of the input images involves applying some ordinary morphological operations and then sampling to get points or segments. As for the search; a branch and bound geometric matching algorithm is used to locate the required symbol(s) in the documents. The presented method has been tested on documents that contain electronic circuits and it achieved high accuracy.
Keywords :
computer graphics; document image processing; image retrieval; information retrieval; tree searching; branch and bound geometric matching algorithm; document analysis; document image retrieval; electronic circuit; graphical symbol retrieval; graphical symbol spotting; queried graphical symbol; Algorithm design and analysis; Books; Image edge detection; Indexing; Shape; Text analysis; Symbol Retrieval; branch and bound algorithm; document analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5651137
Filename :
5651137
Link To Document :
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