基于BP神经网络的图像识别

Image Recognition Based on BP Neural Network

随着信息技术的不断发展,数字影像技术已经渗透到生产生活的各个领域。该技术的传输和存储技术已经非常先进,但关键的图像识别技术一直是国内外的研究中心。由于传统图像识别方法的局限性,在搜索过程中还存在很多问题。神经网络为传统图像识别问题提供了一种新方法,因为它们需要较少的信息和复杂状态映射的实现。本文提出了一种基于BP神经网络的图像识别模型,利用神经网络研究。实验结果表明,该模型是高效的,具有良好的检测率。

With the continuous development of information technology,digital imaging technology has penetrated into all fields of production and life.The transmission and storage technology of this technology has been very advanced,but the key image recognition technology has always been the research center at home and abroad.Due to the limitations of traditional image recognition methods,there are still many problems in the search process.Neural networks provide a new approach to traditional image recognition problems because they require less information and the implementation of complex state maps.This paper proposes an image recognition model based on BP neural network,using neural network research.Experimental results show that the model is efficient and has a good detection rate.