License plate location based on improved visual attention model

Zhenjie Yao; Weidong Yi

doi:10.1117/12.920210

13 January 2012 License plate location based on improved visual attention model

Zhenjie Yao, Weidong Yi

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 834916 (2012) https://doi.org/10.1117/12.920210
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

License plate recognition (LPR) system play an important role in intelligent transportation systems (ITSs). It is difficult to locate a license plate in complex scene. Our location strategy integrates blue region, vertical texture and contrast features of LP in the framework of improved visual attention model. We improve visual attention model by changing normalization and linear combination into feature image binarization and logical operation. Multi-scale center-surround differences mechanism in visual attention model make the feature extraction robust. Tests on pictures captured by different equipments under different environments give delightful result, the success rate for location is as high as 95.28%.

Citation Download Citation

Zhenjie Yao and Weidong Yi "License plate location based on improved visual attention model", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834916 (13 January 2012); https://doi.org/10.1117/12.920210

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