The invention provides an identification method of a woven fabric tissue chart, wherein the identification method relates to image analysis. The identification method comprises the steps of a first step, identifying the type of the woven fabric tissue structure based on a yarn boundary characteristic, namely performing woven fabric image pre-treatment, performing inclination correction and dividing for obtaining each tissue point image, determining the latitude and longitude attributes of the tissue point image by means of the yarn boundary characteristic of the tissue point image, obtaining the number of circulating yarns of the woven fabric and classifying the tissue structure; and a second step, performing woven fabric tissue chart identification based on an improved Gabor characteristic and the tissue structure type, namely extracting the characteristic of a non-twill tissue point image based on the improved Gabor kernel transformation, performing PCA dimension reduction, classifying the non-twill tissue point image by means of a support vector machine, performing classified correction on a woven fabric tissue chart matrix, and outputting a correct woven fabric tissue chart. The identification method of the woven fabric tissue chart can realize a high-robustness identification effect on woven fabric three-elementary tissues which are obtained through weaving yarns with different dimensions and colors and the woven fabric tissue chart with a simple changed tissue structure.