基于深度学习算法的票证识别平台研究

Gaode Cheng
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引用次数: 0

摘要

随着数字时代的到来,票据识别已成为许多企事业单位和个人的一项必要工作。本文提出了一种基于深度学习算法的门票识别平台,可以自动识别各种类型的门票,实现快速准确的处理。该平台采用卷积神经网络、循环神经网络、长短时记忆网络等深度学习算法,结合图像处理技术和自然语言处理技术,有效解决票证识别中的疑难问题。实验结果表明,该平台在票据识别精度和速度方面具有较高的性能,能够满足实际应用的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on ticket recognition platform based on deep learning algorithm
With the advent of digital age, bill recognition has become a necessary work for many enterprises, institutions and individuals. This paper proposes a ticket recognition platform based on deep learning algorithm, which can automatically recognize various types of tickets and realize fast and accurate processing. The platform uses deep learning algorithms such as convolutional neural network, cyclic neural network and long and short time memory network and combines image processing technology and natural language processing technology to effectively solve the difficult problems in ticket recognition. The experimental results show that the platform has high performance in ticket recognition accuracy and speed and can meet the needs of practical applications.
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