亚洲邮票识别和分类系统
Asian Stamps Identification and Classification System
摘要：
在本文中，我们解决的问题，邮票识别。目标是将给定的邮票分类到某个国家，并确定其出版的年份。提出了一种基于颜色信息和纹理信息描述邮票图像的邮票识别方法。对于颜色信息，我们使用整个图像的颜色直方图，对于纹理，我们使用两个特征。基于局部特征描述子的SIFT和基于稠密纹理描述子的HOG。因此，我们总共有三种不同类型的功能。我们的初步评估表明，给这些信息，我们能够以合理的准确度分类的图像。
英文摘要：
In this paper, we address the problem of stamp recognition. The goal is to classify a given stamp to a certain country and also identify the year it is published. We propose a new approach for stamp recognition based on describing a given stamp image using color information and texture information. For color information we use color histogram for the entire image and for texture we use two features. SIFT which is based on local feature descriptors and HOG which is a dens texture descriptor. As a result on total we have three different types of features. Our initial evaluation shows that give these information we are able to classify the images with a reasonable accuracy.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
