Android Mobile Platform Image Processing System Development Based on Fuzzy Logic Enhancement

Shaoqiang Li
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Abstract

In this paper, the solution based on fuzzy logic is proposed to optimize the recognition accuracy, and fuzzy reasoning does not need to consider the mathematical model of the problem, so as to realize the imitation of human thinking process to deal with the problem, and solve the problem according to different fuzzy rules. Fuzzy logic is good at processing fuzzy information and is widely used in fuzzy control, fuzzy neural network, fuzzy decision making and many other fields. This scheme improves the accuracy of character recognition, and the recognition effect is proved to be ideal by experimental simulation. The author designed license plate recognition system based on Android platform, and applied the optimized recognition algorithm to license plate recognition to improve the convenience and accuracy of license plate recognition.
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基于模糊逻辑增强的Android移动平台图像处理系统开发
本文提出了基于模糊逻辑的解决方案来优化识别精度,模糊推理不需要考虑问题的数学模型,从而实现模仿人类的思维过程来处理问题,并根据不同的模糊规则来解决问题。模糊逻辑擅长处理模糊信息,广泛应用于模糊控制、模糊神经网络、模糊决策等诸多领域。该方案提高了字符识别的精度,并通过实验仿真证明了其理想的识别效果。设计了基于Android平台的车牌识别系统,并将优化后的识别算法应用到车牌识别中,提高了车牌识别的便利性和准确性。
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