Don and Fu (1984) had successfully inspected the metal surface using pattern classification techniques. Due to the similarity between the seismic data images and the metal surface images, several pattern classification techniques are applied to inspect he seismic patterns. Based on the co-occurrence matrix (Haralick 1973), 12 effective features, contrasts, are extracted and used to the seismic pattern recognition. Eight analyzed seismic patterns are chaotic reflections, few reflections, many reflections, bright-spot, flat-spot, pinch-out, gradual sealevel fall, and gradual sealevel rise. The classification techniques include four clustering algorithms (unsupervised), two linear classifiers, and two piecewise linear classifiers (supervised).