The Application of Image Recognition Based on BP Neural Networks in Automatic Steel Rolling

Abstract:

A BP neural networks is presented for billet character recognition. Firstly, by a series of image processing techniques, the character’feature in the billet character region of the video image gathered by frame grabber is abstracted. Secondly, the BP neural networks algorithm is employed for character recognition. Application results show that the image recognition based BP neural networks can performs well in billet character recognition, and the method presented is speedy, efficient and of high value in practice.

• Periodical: Advanced Materials Research (Volume 764)
• Pages: 161-164
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.764.161
• Online since: September 2013
• Authors: Wei Jiang
• Keywords: BP Neural Network (BPNN), Feature, Image Recognition, Training

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