身份(音乐)
计算机科学
光学字符识别
鉴定(生物学)
过程(计算)
性格(数学)
身份盗窃
图像(数学)
人工智能
订单(交换)
情报检索
计算机视觉
模式识别(心理学)
计算机安全
美学
数学
程序设计语言
哲学
植物
几何学
生物
财务
经济
作者
Ignacio Marin-Aguilar,Luis Alberto Chavarría-Zamora,Leonardo Araya-Martinez
标识
DOI:10.1109/laedc54796.2022.9908240
摘要
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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