首页> 外文会议>International Workshop on Graphics Recognition(GREC 2005); 20050825-26; Hong Kong(CN) >Crosscheck of Passport Information for Personal Identification
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Crosscheck of Passport Information for Personal Identification

机译:护照信息的交叉检查以用于个人识别

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This paper proposes a character region extraction method and picture separation used for passports by adopting a preprocessing phase for passport recognition system. Character regions required in recognition make black pixel and remainder of the passport regions make white pixel in the detected character spaces. This method uses MRZ sub-region in order to automatically decide the threshold value of the binary image and this value is applied to the other character regions. Tthis method also executes horizontal and vertical histogram projection in order to remove picture region of the binary image. After the region detection of the picture area, the image part of the passport is stored in the database for face images. The remainder of the passport is composed of characters. The extraction of the picture area shows 100% of extraction ratio and the extraction of the characters for the recognition shows 96% of extraction ratio on ten different passports. From the obtained information, crosscheck process of MRZ information and field information of passport is implemented.
机译:通过对护照识别系统进行预处理,提出了一种用于护照的字符区域提取方法和图片分离方法。识别所需的字符区域在检测到的字符空间中为黑色像素,其余护照区域为白色像素。此方法使用MRZ子区域,以便自动确定二进制图像的阈值,并将此值应用于其他字符区域。此方法还执行水平和垂直直方图投影,以去除二进制图像的图片区域。在检测到图片区域的区域之后,将护照的图像部分存储在面部图像数据库中。护照的其余部分由字符组成。图片区域的提取显示了100%的提取率,而用于识别的字符的提取显示了十种不同护照上的96%的提取率。根据获得的信息,进行机读区信息和护照的现场信息的交叉检查处理。

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