Abstract
Recognition of characters stamped on the metal is one of the difficult subject and has a wide application in industrial manufacturing. Conventionally, stamped character recognition has been performed using binarization and segmentation. However, the quality of the background is apt to be poor. Consequently, it becomes difficult to binarize the image. In this paper, recognition process without binarization is proposed. Segmentation and recognition are performed simultaniously by exhaustive pattern matching at every location using the Multi-Angled Parallel Matching Method, where multiple directional planes and a plane for lines are combined as an input feature. The effectiveness is proved by experiments for laser-marked alphanumerics.
