Abstract
Steel billet recognition is an urgent requirement in the steel industry of heavy rail line. Due to high temperature and complex scene in the rolling line, the recognition at the end of billet is quite different from optical character recognition with simple background and vehicle license plate recognition. In order to solve the problem, this paper presents some new schemes in character location, segmentation and recognition in the complex scene. These proposed algorithms include the location algorithm of multilevel filter based on separability criterion, the segmentation algorithm based on intelligent multi-agent and the recognition algorithm of character features matching combining the template matching. The results show that the proposed algorithms are effective for steel billet character recognition in the complex scene.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lee, E.R., Kim, P.K.: Automatic recognition of a car license plate using color image processing. Journal of Korea Institute of Telematics and Electronics 24(2), 128–131 (1995)
Yen, J.C., Chang, F.J., Chang, S.: A New Criterion for Automatic Multilevel Thresholding. IEEE Trans. on Image processing 4(3), 370–377 (1995)
Dai, R., Liu, C., Xiao, B.: Chinese Character Recognition: History Status, and Prospects. Frontiers of Computer Science in China 1(2), 126–136 (2007)
Yang, W., Li, J., Shen, Z.: Technique of Automatic Orientation of Car License Plate Targets. Journal of Image and Graphics 7A(8), 835–839 (2002)
Zhang, Z., Huang, S., Li, D., Yan, G.: A Method Applied for Precise Segmentation of the Characters in the ID Card. Computer Engineering and Applications 13, 114–116 (2003)
Lu, X., Ling, X., Huang, W.: A Method of Vehicle Number Plate Recognition Based on Template Matching. Computer and Communications 6(22), 79–82 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hong, H., Zhang, X., Yang, Y., Yu, Z. (2011). Steel Billet Recognition in the Heavy Rail Production Line. In: Lee, G. (eds) Advances in Automation and Robotics, Vol. 2. Lecture Notes in Electrical Engineering, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25646-2_75
Download citation
DOI: https://doi.org/10.1007/978-3-642-25646-2_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25645-5
Online ISBN: 978-3-642-25646-2
eBook Packages: EngineeringEngineering (R0)