利用神经网络基于矩阵相似度的图像体态识别

Body of Image Recognition Based on Matrix Similarity Using Neural Network

模式识别的首要工作任务是提取图像特征。本文基于图像矩阵相似度特征进行体态识别。文中首先简要介绍人工神经网络机器学习法,其次基于矩阵理论提出图像矩阵相似度,最后利用人工神经网络训练提取样本图像的矩阵相似度特征进行体态识别。实验结果表明,利用人工神经网络训练提取样本图像的矩阵相似度特征进行体态识别能获得较高的图像中人体体态识别率。

The primary task of pattern recognition is to extract the features of the image. The purpose of this paper is to achieve the posture recognition based on the matrix similarity feature of the image.The paper first introduces the machine learning method of artificial neural network, and then puts forward the matrix similarity of the image based on matrix theory. Finally,we use artificial neural network to extract the matrix similarity feature of sample image for posture recognition. The experimental results show that the recognition rate of the posture recognition is higher by using the matrix similarity feature of the artificial neural network to extract the sample image.