License Plate Fault-Tolerant Characters Recognition Algorithm Based on Color Segmentation and BP Neural Network

Xiao Chun Wang; Guo Wei Yang; Yang Yang

doi:10.4028/www.scientific.net/AMM.411-414.1281

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414License Plate Fault-Tolerant Characters...

License Plate Fault-Tolerant Characters Recognition Algorithm Based on Color Segmentation and BP Neural Network

Abstract:

According to the license plate recognition problem, this paper did the research about license plate location and characters recognition. It proposed two new algorithms, they separately are license location algorithm based on color segmentation and fault-tolerant characters recognition algorithm based on BP neural network. In the pre-processing stage, it proposed image enhancement algorithm which could make the image more easily analyzed by computer. In the location stage, it made utilization of color and shape information, and then proposed location algorithm. In the recognition stage, it fully made the consideration of characters fault-tolerant, and then made the use of improved BP neural network to recognize characters. Experiments show that the special license plate fault-tolerant characters recognition algorithm is more accurate than the original license plate recognition methods, and its recognition rate has been improved greatly.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1281-1286

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1281

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Online since:

September 2013

Authors:

Xiao Chun Wang, Guo Wei Yang, Yang Yang

Keywords:

BP Neural Network (BPNN), Characters Recognition, Color Segmentation, Fault Tolerant, Feature Extraction, Location

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References

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