92.3%。Corn varieties Zhengdan958, Liaodan565 and Jingke25 were selected as the research objects. Six general characteristics about color, shape and size were picked up from the digital image of corn seed. Support vector machine (SVM) was used to recognize, and the results were compared with neural network (NN) algorithm. The results indicate that the identification rate of SVM strategy is 92.3%.