基于RGB颜色模型及图像二值化的红晕印鉴提取

Extraction of Seal with Blush Based on RGB Color Model and Image Binarization

针对票据认证识别中印鉴难以准确提取以及放置时间过长的手工印鉴周围出现红晕而失效的问题,本文提出一种带红晕印鉴提取的技术方法。先将图像进行二值化,采用RGB颜色模型提取印鉴,并通过基于RGB颜色模型的图像提取方法与图像的二值化相结合的方法,找到去除红晕等噪声印鉴的位置信息,同时根据找到的位置信息进行印鉴还原实验。实验结果表明,带红晕印鉴提取的技术方法能有效去除红晕等噪声,准确提取票据上的印鉴。该方法较好地解决了带红晕等噪声的印鉴提取难题,对印鉴识别技术的研究具有一定的实际意义。

The problem about accurate extraction of seal hasn？t been solved well in the recognition of notes. The general extraction’s method based on RGB color model is very effective for extraction of electronic seal. But the method is very difficult for extraction of the manual seal especially extraction of the seal that arises blush, because of placing for long time. In view of the problem about seal extraction in note identification and the problem that it is invalid to extracting manual seal with blush, this paper proposed an extraction’s method about seal with blush as follow： firstly, image must be made binary processing. Then, seal ispreliminary ex-tracted by extraction of RGB color model. Next, using the method of the combine the method based on extrac-tion of RGB color model and image binarization finds locational information of seal of removing blush. Mean-while, the seal image is restored by the locational information. Experiments show that extraction ？s technology of seal with blush can effectively remove noise,like blush and accurately extracts seal of notes. This method is a better method for extracting seal with noise, like blush, and has practical significance for the study about seal identification.