论文标题
从身份证中检索实时信息
Real-time information retrieval from Identity cards
论文作者
论文摘要
授权组织经常从有效的个人身份证中检索信息，以解决不同的目的。成功的信息检索（IR）取决于准确性和计时过程。需要很长一段时间做出响应的过程在交换数据时双方都令人沮丧。本文旨在为从扫描或捕获阶段到光学特征识别（OCR）之前的身份证（ID）的旅程提出一系列最先进的方法。该提案的关键因素是过程中流程的准确性和速度。这项研究的实验结果证明，基于深度学习的方法，例如高效，准确的场景文本（东）检测器和深神经网络（DNN）进行面部检测，而不是传统方法可大大提高效率。
Information is frequently retrieved from valid personal ID cards by the authorised organisation to address different purposes. The successful information retrieval (IR) depends on the accuracy and timing process. A process which necessitates a long time to respond is frustrating for both sides in the exchange of data. This paper aims to propose a series of state-of-the-art methods for the journey of an Identification card (ID) from the scanning or capture phase to the point before Optical character recognition (OCR). The key factors for this proposal are the accuracy and speed of the process during the journey. The experimental results of this research prove that utilising the methods based on deep learning, such as Efficient and Accurate Scene Text (EAST) detector and Deep Neural Network (DNN) for face detection, instead of traditional methods increase the efficiency considerably.
