验证身份证件真实性的实用方法

Ignacio Marin-Aguilar, L. Chavarría-Zamora, Leonardo Araya-Martinez
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引用次数: 0

摘要

由于诸如欺诈和盗窃身份等罪行多年来有所增加,这是哥斯达黎加的具体情况,因此需要一种能够以简单方式确定身份证件真实性的系统;造成这种情况的原因是,许多过程和交易可以在虚拟环境中进行,这为这类犯罪的发生打开了大门。为了上述目的,目前的工作包括研究、设计和开发一个原型系统,以确定身份证件是否真实。该真实性估计器由应用于图像的算法组成,例如过滤器和转换;以执行一个称为光学字符识别(OCR)的过程,该过程包括从给定图像中识别符号或字符。该建议使用经典的计算机视觉技术,尽管重要的是要提到机器学习技术也可以用于此目的。然而,通过这种方法,身份证件识别的准确率达到了80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A practical approach to validate the authenticity of identity documents
There is a need for a system capable of determining the authenticity of identity documents in a simple way due to the increase over the years of crimes such as fraud and identity theft, this in the specific case of Costa Rica; the reason for this situation is that many processes and transactions can be carried out virtually, which opens the door for this type of crime to take place. For the above purpose, the present work consists of the research, design, and development of a prototype system to determine whether an identification document is authentic. This authenticity estimator consists of a composition of algorithms applied to images, such as filters and transformations; in order to perform a process called Optical Character Recognition (OCR), which consists of the recognition of symbols or characters from a given image. This proposal uses classical computer vision techniques, although it is important to mention that machine learning techniques can also be used for this purpose. Nevertheless, with this approach, 80 percent of accuracy was obtained in the recognition of identity documents.
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