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Gas-water two-phase flow is of significance in industrial process and scientific research field. Its flow regime determines the flow parameters and the method of flow measurement. Precise identification of flow regime has been a popular subject for a long time. In this work, a series experiments on gas-water two-phase flow were conducted in a 50 mm diameter horizontal pipe, the flow parameters were measured with a dual-plane electrical resistance tomography (ERT) system. A method of feature extraction from the measurement data is presented and the flow regime was recognized by using a support vector machine (SVM) method. Additionally, the data fusion methods are selected and compared to discuss the method of improving the flow regime recognition performance.