基于人脸识别的失踪人口识别系统的设计与实现

Jongju Shin, ChanMi-Park, Heonju Lee, Seoung-Hyeon Lee, Lee Jae Kwang
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引用次数: 0

摘要

[摘要]本文提出了一种基于人脸识别技术和深度学习的失踪人员寻找方法。本文开发了一种实时人脸识别技术,该技术对移动设备传输的图像进行预处理后,通过人脸识别数据强化和基于卷积神经网络(CNN)的图像学习,进行人脸验证,提高人脸识别的准确性。利用本文实现的系统对失踪者进行图像识别
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Design and Implementation of Missing Person Identification System using face Recognition
[Abstract] In this paper proposes a method of finding missing persons based on face-recognition technology and deep learning. In this paper, a real-time face-recognition technology was developed, which performs face verification and improves the accuracy of face identification through data fortification for face recognition and convolutional neural network(CNN)-based image learning after the pre-processing of images transmitted from a mobile device. In identifying a missing person’s image using the system implemented in this paper
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