Similarity Retrieval of Trademark Images by Vector Graphics Based on Shape Characteristics of Components
Similarity Retrieval of Trademark Images by Vector Graphics Based on Shape Characteristics of Components
复制标题
基于元件形状特征的矢量图形商标图像相似度检索
DOI：
10.1145/3192975.3192988
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
T. Hayashi
中科院分区：
文献类型：
--
作者：
K. Abe;H. Morita;T. Hayashi
提出了一种用矢量图形表示商标图像的相似度检索方法。在对新商标图像的实际审查中，对显示产品或服务的基本物体的相似性进行评估。虽然已经有了一种用矢量图形表示商标图像来评价基本对象之间相似性的相似度检索系统，但现有的系统在某些情况下效果并不理想。所提出的方法是现有系统的改进版本。为了提高系统的性能，该方法改进了物体轮廓形状特征向量的提取，并将质心距离的方法引入到特征提取中。实验结果表明，该方法能较好地评价商标中各基本客体的相似度。
This paper presents a similarity retrieval of trademark images represented by vector graphics. In the real inspection for new trademark images, similarity for essential objects which show products or services is evaluated to the registry. Although a similarity retrieval system which evaluates similarity between the essential objects has been already reported with trademark images represented by vector graphics, the existing system does not work well in some cases. The proposed method is an improvement version of the existing system. To enhance performance of the system, in the proposed method, the extraction of feature vectors for an object's contour shape is improved and the method of centroid distance is introduced into the feature extraction besides. Experimental results have shown that the proposed method could evaluate similarity of each essential object in trademarks better than the existing system.