Face Detection Using Backpropagation Neural Networks

Anifuddin Azis, Muhamad Haikal
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引用次数: 0

Abstract

Abstract This paper summarizes a research effort in human face detection. A system to locate human faces in images, especially when used as a front-end for a human face identification system, could have many applications in the law enforcement and security professions. The approach presented here is a hybrid system using an edge deletion preprocessor and back-propagation neural networks. The method proposed successfully detected multiple faces. The results obtained are reported along with a discussion for improving the system. Keywords: Backpropagation neural networks, Edge Detection
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基于反向传播神经网络的人脸检测
摘要:本文综述了人脸检测方面的研究进展。在图像中定位人脸的系统,特别是当用作人脸识别系统的前端时,可以在执法和安全行业中有许多应用。本文提出的方法是使用边缘删除预处理和反向传播神经网络的混合系统。该方法成功地检测了多个人脸。报告了所得结果,并对改进系统进行了讨论。关键词:反向传播神经网络;边缘检测
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发文量
20
审稿时长
12 weeks
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