DocumentCode :
2086553
Title :
Connected component analysis for Indian license plate infra-red and color image character segmentation
Author :
Vishwanath, N. ; Somasundaram, Sivanand ; Ravi, M.R.R. ; Nallaperumal, N.K.
Author_Institution :
Cape Inst. of Technol., Kanniyakumari, Levengipuram, India
fYear :
2012
fDate :
18-20 Dec. 2012
Firstpage :
1
Lastpage :
4
Abstract :
Character segmentation is a necessary preprocessing step for character recognition in many license plate recognition systems. It is important because incorrectly segmented characters are less likely to be recognized correctly. In this article segmentation scheme of Indian LP has been proposed with some unconventional and easy-to implement technique - The connected component analysis. In this paper the first part is taken into consideration some preprocessing operations and the second part is for connected component analysis by means of labelling algorithm, aspect ratio analysis and pixel count analysis. By using the corresponding co-ordinates, characters are extracted from the license plate. Results for this method are promising even in tough conditions.
Keywords :
character recognition; image colour analysis; image segmentation; Indian license plate infrared; aspect ratio analysis; character recognition; color image character segmentation; connected component analysis; labelling algorithm; license plate recognition system; pixel count analysis; Aspect Ratio Analysis; Connected Component Labelling; Gray scale; Otsu Thresholding; Pixel Count Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-1342-1
Type :
conf
DOI :
10.1109/ICCIC.2012.6510323
Filename :
6510323
Link To Document :
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