期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：8
出版社：S&S Publications
摘要：In this paper, an object recognition system is proposed, that provides the best way to recognize the object from the given image. The process of the proposed method is the input given to the system is the color image. First the color image is converted into Gray - scale image using color conversion method. To obtain the important details of the object, canny's edge detec tion method is employed. The edge detected image is inverted. From the Inverted image the feature vector is constructed with the following information i) Hu's Seven Moment Invariants ii) Center of the object iii) dimension of the object. The information st ored in the database for each image is eigenvalue generated from the computed feature vector using Principal Component Analysis. K - Nearest Neighbor is applied to the feature vector to recognize the object by comparing the information already available in t he database to the eigenvalue of new image. To prove the efficiency of the proposed method the feature vector generated using orthogonal moment is used with K - Nearest Neighbor Method. The K - Nearest Neighbor outperforms well when compared to Fuzzy K - Neares t Neighbor and Back Propagation Network
