This work aimed to improve Harris operator based on the traditional Harris corner detection operator, in order to improve the detection accuracy and the false corner detection capability of the algorithm. Using the material recognition on automatic logistic packaging line as an example, the images obtained were first pretreated to get grey images, and rotation at four different angles was performed on the basis of the grey images using steerable filter. Then corner detection was performed, and finally, the authenticity of corner was comprehensively judged using logic computation. Corner detection of pretreated image data was conducted using the improved Harris corner detection operator, and compared to that using the traditional corner detection operator. The results showed that the improved operator indeed had very strong capability of judging the authenticity of corner. In conclusion, the experiment verified that this method could effectively enhance the recognition accuracy of corner detection operator, and the false detection rate in the experiment was reduced to 1.3% and the undetected rate was reduced to 2.9%.