The optical texture of coke directly determines the quality of coke.At present，the determination of optical texture content of coke is mainly collected by optical microscope，the operation process is complicated，and the manual identification may bring errors.Based on the image analysis，each microstructure in the optical image of the coke is subjected to characteristics interception.RGB pixel value，Color Moments and Local Binary Pattern (LBP algorithm) are used for extracting their images characteristics.K-Nearest Neighbor，Support Vector Machine and Random Forest are used for classification and identification respectively.The accuracy results show that the image characteristics extraction method based on Color Moment，using the Support Vector Machine model calculation method to identify the coke optical texture can reach 90%.