Personal identity documents play a major role in every citizen's life and the authorities responsible for validating them typically require human intervention to manually cross-check multiple documents belonging to an individual. The world is rapidly replacing physical documents with digital documents where every piece of data is stored digitally in a machine-readable and structured format. In this paper, we describe a technique to extract identity data from a structured data format and calculate a normalized correlation score for personal identity documents. Experimental results show that the proposed technique effectively calculates the correlation score for personal identity documents.
翻译：个人身份证件在每一个公民生活中都起着重要作用,负责确认身份证件的当局通常需要人手干预,人工核对属于个人的多重证件,世界正在迅速用数字证件取代实物证件,每一件数据都以机器可读和结构化格式以数字形式储存,本文描述了从结构化数据格式中提取身份资料和计算个人身份证件标准化相关得分的技术,实验结果表明,拟议的技术有效地计算了个人身份证件的相关得分。
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