文献类型：会议论文

英文题名：A novel objects recognition technique

作者：Li, Xiaoxue[1]

第一作者：李笑雪

通讯作者：Li, X.

机构：[1] College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan 450002, China

第一机构：河南财经政法大学计算机与信息工程学院

会议论文集：Advances in Computer Science, Intelligent System and Environment

语种：英文

外文关键词：Fast Fourier transforms - Intelligent systems - K-means clustering

摘要：In this paper, we assume that the objects can be classified according to the pattern in the contour, i.e. features such as dimension, position and orientation are only confounding factors which should not be used in the recognition process. Based on these assumptions, a novel patter Recognition technique was proposed to recognize two dimensional objects with closed contours via the use of Fast Fourier Transform and a constrained k-means clustering technique. ? 2011 Springer-Verlag Berlin Heidelberg.