DocumentCode :
1604985
Title :
A robust flight coupon recognition system based on multi neural network
Author :
Luo, Zhimin ; Wang, Zhiyan ; Li, Yi
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume :
3
fYear :
2004
Firstpage :
1133
Abstract :
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.
Keywords :
aerospace; backpropagation; character recognition; neural nets; back propagation neural network; character recognition speed; civil aviation; convolutional neural network; multineural network; real-time recognition system; robust flight coupon recognition system; Aerospace engineering; Character recognition; Computer science; Convolution; Databases; Neural networks; Optical character recognition software; Pattern recognition; Real time systems; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
Type :
conf
DOI :
10.1109/ICIT.2004.1490719
Filename :
1490719
Link To Document :
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