DocumentCode :
3579265
Title :
Hybrid algorithm for alphanumeric character recognition for vehicles using LabVIEW
Author :
Singh, Paramvir ; Kaur, Rashpinder
Author_Institution :
School of Electronics and Electrical Engineering, Chitkara University Rajpura, Punjab, India
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
An efficient approach to recognize alphanumeric characters from different type of images using hybrid algorithm has been used in this paper. This algorithm can recognize characters from 90 percent blurred image whose blurredness has removed by using convolution operation. The algorithm is implemented using vision and motion toolkit of LabVIEW software. The real time images of license plates whose information got distorted under different environmental conditions and blurred images are employed for various processing operations e.g. image enhancement, filtering, segmentation. This algorithm has been tested on the license plates of various cars to isolate and identify the characters. The performance of algorithm has shown accurate results.
Keywords :
Algorithm design and analysis; Character recognition; Image recognition; Image segmentation; Licenses; Optical character recognition software; Optical filters; alphanumeric characters; character recognition; image processing; license plate; thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
Type :
conf
DOI :
10.1109/ICCIC.2014.7238469
Filename :
7238469
Link To Document :
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