YANG Guo-feng, WANG Huan, HUANG Min, et al. Research and implementation of vehicle-logo recognition based on modified invariant moments[J]. Journal of Light Industry, 2013, 28(2): 91-94. doi: 10.3969/j.issn.2095-476X.2013.02.021
Citation:
YANG Guo-feng, WANG Huan, HUANG Min, et al. Research and implementation of vehicle-logo recognition based on modified invariant moments[J]. Journal of Light Industry, 2013, 28(2): 91-94.
doi:
10.3969/j.issn.2095-476X.2013.02.021
Research and implementation of vehicle-logo recognition based on modified invariant moments
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College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China;
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College of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
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Corresponding author:
HUANG Min,
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Received Date:
2013-01-07
Available Online:
2013-03-15
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Abstract
The vehicle-logo recognition method was built based on modified invariant moments. Template matching was applied to the rough location of vehicle-log, then,edge detection wae used to locate vehiclelogo precisely,the modified invariant moments eigenvalue was calculated for the recognition vehicle-logo,at last the vehicle-logo recognition was achieved by invariant moment minimum distance. The approach can adapt to complete object location and recognition,it can be unacted on the image size and deformation. The experimental results showed that compared with Hu invariant moments, the method based on modified invariant moments has higher accuracy of recognition,which is conducive to the vehicle-logo recognition.
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