Abstract: Early prediction method for exogenous fire in coal mine based on digital image processing and SVM was proposed according to coal mine environment characteristics. The method uses image processing method to extract characteristics values of temperature change rate, area growth ratio, flame flicker frequency and overall stability according to initial changing features of fire, and takes them as input signal to SVM for data fusion, so as to achieve fire detection. The experimental results show that the method can realize classification and recognition of high-risk fire source and interference signal of coal mine, and has high detection rate, low misjudgment rate, good real-time performance and robustness.