Abstract: Based on support vector machine (SVM), a novel method for digital insect identification was proposed, and applied in identifying seven species of butterflies with intersectional coordinates of venation in the internal of forewings. The basic principles were as follows: firstly, the intersectional coordinates of venations in the internal of seven species’ forewings were obtained automatically by DrawWing which was a program for numerical description of insect wings. Secondly, binary model was composed by the each type of sample and other samples. Thirdly, the redundant features or unnecessary features were filtered by using support vector classification, and the retained features were used to construct the classification model. Accuracy of the seven prediction model was 98.64%, and higher than the reference model, that the new method of identification in the field of insect has a good prospect.