基于多神经网络的鲁棒机票识别系统

Zhimin Luo, Zhiyan Wang, Yi Li
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引用次数: 0

摘要

在民航现代化和信息化建设中,快速、正确地识别乘机联信息是必不可少的。航空优惠券通常有复杂的背景和多种字体。为了达到较高的识别率和可靠性,我们设计了基于多神经网络的识别系统。将反向传播神经网络和卷积神经网络结合到多神经网络模型中,该模型能够成功地区分具有相似特征的类。作为一个实时识别系统,我们具有很高的字符识别速度。本文给出了该系统的解决方案和实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust flight coupon recognition system based on multi neural network
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.
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