Abstract: Affected by working condition or uneven distribution,Direct Part Mark(DPM) barcode image taken by camera is always brightness uneven and distortion.It is difficult to locate and identify DPM.Accordingly,a method based on improved SUSAN corner detection and Semi-supervised Affinity Propagation Clustering is proposed in this paper.After analyzing the characteristics of rectangular areas on DPM barcode image,SUSAN corner detection algorithm is improved in this paper.The improved algorithm has the ability of solving the uneven lighting problems and detecting the distortion barcode.At the same time,it can significantly inhibit off the false corner on the background and within barcode region.Then the rule of supervision on the basis of gathering characteristics of corner is built up.Supervision mechanism is integrated into the Affinity Propagation Clustering to make up Semi-supervised Affinity Propagation Clustering algorithm.Experiments show that our algorithm is high efficiency and strong in detecting the corner within DPM barcode region.DPM barcode location method based on clustering results is more accurate and faster than other algorithm.