통계적 속성을 이용한 히스토그램 기반 효율적인 서명인식

Abstract

Abstract This paper presents an efficient signature recognition method by using the hybrid similarity criterion, which is in inverse proportion to distance and in proportion to correlation between the images. The distance is applied to express the spacial property of image, and the correlation is also applied to express the statistical property. The proposed criterion provides the robust recognition to both the geometric al variations such as position, size, and rotation and the shape variation. The normalized cross-correlation(NCC), which i s calculated by considering 4 directions based on the histogram of binary image, is applied to express rapidly and ac curately the similarity between the images. The proposed method has been applied to the problem for recognizing the 20 truck images of 288*288 pixels and the 105(3 persons * 35 images) signature images of 256*256 pixels, respectively. The experimental results show that the proposed method has a superior recognition performance that app ears the image characters well. Especially, the hybrid criterion of NCC and ordinal distance has a superior recognition performance to the hybrid criterion using city-block or Euclidean distance.Key Words : Signature recognition, Similarity criterion, Distance, Normali zed cross-correlation, Histogram of binary image