We consider the problem of over-the-horizon multiradar track association. The operation center receives the registration of tracks from three different over-the-horizon radars. The fusion of these tracks presents a large operator workload. We investigate automating this process. We propose two methods for feature extraction. The first uses the Hough transform and the second uses some track affinity measures. For every case, we consider two systems, one using the multilayer perceptron and the other assuming independence of the features and combining the probabilities. For the Hough transform, we consider the range-time image of the tracks and transform all track data to a unified coordinate system. In the second method, we consider a set of affinity measures and study their relative and cumulative frequencies for associated and nonassociated pairs of tracks. Error rates of less than 7% were achieved with the Hough transform method and less than 1% using track affinity measures.