Seal identification based on SIFT and edge direction histogram

Ning Ding, Xue-dong Zhang, Zhi-feng Wang, Chuan Wan
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引用次数: 2

Abstract

For purpose of solving the imperfect problems of SIFT method those lack of edge feature detect and low identification rate, the paper propose the integration of the SIFT and edge direction histogram method, and discusses how to use edge direction histogram on the basis of the SIFT feature vector matching to product edge direction difference values further more carry out the seal identification, by the same sample database of Seal image experimental results show that the fusion algorithm enhances the identification rate to 95%.
基于SIFT和边缘方向直方图的印章识别
为了解决SIFT方法缺乏边缘特征检测和识别率低的不完善问题,本文提出了SIFT与边缘方向直方图相结合的方法,并讨论了如何在SIFT特征向量匹配的基础上利用边缘方向直方图进一步对产品边缘方向差值进行识别。实验结果表明,该融合算法将图像识别率提高到95%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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