In view of characteristics of pressure sensor affected by temperature changes and voltage fluctuation, a correction model of pressure sensor is presented based on Support Vector Machine. The approximate ability of the SVM to any nonlinear function is utilized to drill the correction model, so as to enable it to be setup at different temperatures and voltage fluctuation, thus allowing the sensor output to be in a nonlinear mapping relation to the voltage values the sensor actually sensed. The experimental results show that maximum relative fluctuation comes down from 22.2% to 0.64%, and the model can not only eliminate the influence from temperature and voltage fluctuation, but also can obtain the expected linear output from the output terminal of correction model.