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ID Card Detection with Facial Recognition using Tensorflow and OpenCV

机译:使用Tensorflow和OpenCV进行面部识别的ID卡检测

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The main goal of computer vision is to identify and recognize different objects of various size, shape and position. The major problems faced by the computer vision is the illumination and the viewpoint of the object, Concerning this and by following multiple studies recurring to deep learning with the use of Convolution Neural Networks on detecting and recognizing objects that showed a high level of accuracy and precision on these tasks. To facilitate object detection in a college environment, the proposed work identifies the presence of a person wearing an ID card using tensor flow object detection API, detects and recognizes the face using haar cascade method of OpenCV.
机译:计算机视觉的主要目标是识别和识别各种大小,形状和位置的不同对象。计算机视觉面临的主要问题是物体的照明和视点,为此,并通过使用卷积神经网络对深度学习进行多次研究,以检测和识别表现出较高准确度和精确度的物体,从而进行深度学习在这些任务上。为了在大学环境中促进对象检测,建议的工作使用张量流对象检测API来识别佩戴ID卡的人的存在,并使用OpenCV的haar级联方法检测和识别面部。

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