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Sri lanka driving license forgery detection

机译:斯里兰卡驾驶证伪造检测

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As there has been a significant increase in the number of identity thefts, governments and organizations have taken the detection of individual identities as a serious task. Sri Lanka has also experienced an increasing level of this issue in the recent past, especially in forging driving licenses. Since Sri Lanka Driving License (SLDL) has unique features, detection of fake driving licenses adopted by other countries cannot be directly applied for SLDL. As a developing country Sri Lanka cannot afford high cost scanning devices across the country to detect fake licenses. Overcoming these issues and addressing the requirement of counterfeit SLDL identification, in this research we came up with a cost effective, automatic and efficient image processing based SLDL identification system. Considering the unique features of SLDL, this system is able to identify counterfeit SLDL for all the types of driving licenses currently in use. Further, in this research novel image processing techniques have been applied in order to yield the highest accuracy through the system.
机译:由于身份盗用的数量大大增加,政府和组织已将检测个人身份视为一项严肃的任务。斯里兰卡最近也经历了这一问题的加剧,特别是在伪造驾驶执照方面。由于斯里兰卡驾驶执照(SLDL)具有独特的功能,因此无法将其他国家/地区采用的伪造驾驶执照的检测直接用于SLDL。作为一个发展中国家,斯里兰卡负担不起在全国范围内使用高成本的扫描设备来检测假许可证的费用。为了克服这些问题并解决伪造SLDL识别的要求,在这项研究中,我们提出了一种基于成本效益,自动且高效的图像处理的SLDL识别系统。考虑到SLDL的独特功能,该系统能够为当前使用的所有类型的驾驶执照识别伪造的SLDL。此外,在这项研究中,为了通过系统产生最高的精度,已经应用了新颖的图像处理技术。

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