Automatic Imprint Identification Based On Neural Network

A combination of image processing , image analyzing and image realization is proposed to solve the problem of seal identification. The techniques include thresholding, matching, feature extraction, and finally identification of seal images. Seal verification by human visual inspection is a serious bottleneck of office automation in Oriental countries. In this paper, we propose a new scheme for automatic seal imprint verification using Neural Network. A major advantage of our scheme is that our scheme can handle seal imprints under much fewer constrains. This shape of seals can be a square, an ellipse, a circle, or any close loop. The boundary of the seal imprints is allowed to be imperfect. Experimental results confirm that the proposed scheme might be feasible for practical applications.