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A robust flight coupon recognition system based on multi neural network

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3 Author(s)
Zhimin Luo ; Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China ; Zhiyan Wang ; Yi Li

It is essential to recognize the flight coupon information rapidly and correctly in the modernization and information construction of civil aviation. Flight coupons are usually with complex background and multifont. In order to achieve a high recognition rate and reliability, we have designed our recognition system based on multi neural network. Both the back propagation neural network and the convolutional neural network are used in our multi neural network model, and this model can successfully discriminate the classes with similar features. As a real-time recognition system, we have a high character recognition speed. In this paper, we present the solution and the experimental result of the system.

Published in:

Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

8-10 Dec. 2004

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