DocumentCode
2734065
Title
Recognition of electrical symbols in document images using morphology and geometric analysis
Author
De, Paramita ; Mandal, Sekhar ; Bhowmick, Partha
Author_Institution
Comput. Sci. & Eng., Haldia Inst. of Technol., Haldia, India
fYear
2011
fDate
3-5 Nov. 2011
Firstpage
1
Lastpage
6
Abstract
A robust and efficient algorithm for recognition of electrical symbols in digitized documents is proposed. The algorithm is based on morphological operations and geometric analysis to recognize different classes of symbols. Its novelty lies in building and usage of three spaces, namely H-, V -, and C-spaces, which respectively contain the horizontal line segments, the vertical line segments, and the circuit symbols present in the concerned drawing. These three spaces are built by morphological operations, which, in turn, are searched and scanned in a scientific way during the geometric analysis in order to obtain the recognized symbols by verifying the structural combination of their constituent primitives. Exhaustive experimentation has been performed to test the performance of the algorithm. Some of the results are presented in this paper to demonstrate its robustness, efficiency, and versatility.
Keywords
computational geometry; document image processing; image recognition; mathematical morphology; circuit symbols; digitized documents; document image recognition; electrical symbol recognition; geometric analysis; horizontal line segments; morphological operations; vertical line segments; Algorithm design and analysis; FETs; Image edge detection; Image segmentation; Information processing; Logic gates; Shape; Electrical symbols; geometric analysis; morphological operation; symbol recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Information Processing (ICIIP), 2011 International Conference on
Conference_Location
Himachal Pradesh
Print_ISBN
978-1-61284-859-4
Type
conf
DOI
10.1109/ICIIP.2011.6108910
Filename
6108910
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