Laser & Optoelectronics Progress, Volume. 47, Issue 6, 61001(2010)

Research on Road Traffic Sign Identification Algorithm Based on Invariance Association Neural Network

Hou Peiguo1、*, Chen Yiqiang2, and Zhang Bei1
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  • 1[in Chinese]
  • 2[in Chinese]
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    Feature library of colors and shapes is established. The association memory neural network model is also designed to realize the identification of invariance pattern. The method of constraint synapse weight is adopted to extract invariance feature from the images. The simulation results show that this method can realize quick splitting of traffic signs and the influence of the angle of view has been well eliminated. It has good accuracy,real-timing and robustness.

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    Hou Peiguo, Chen Yiqiang, Zhang Bei. Research on Road Traffic Sign Identification Algorithm Based on Invariance Association Neural Network[J]. Laser & Optoelectronics Progress, 2010, 47(6): 61001

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    Paper Information

    Category: Image Processing

    Received: Aug. 21, 2009

    Accepted: --

    Published Online: May. 6, 2010

    The Author Email: Peiguo Hou (pghou@ysu.edu.cn)

    DOI:10.3788/lop47.061001

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