Selecting suitable deep learning network for face recognition

Islomov Shahboz Zokir Ugli, Mardiyev Ulugbek Rasulovich, Davronova Lola Uktamovna, Khamidov Sherzod Jaloldin ugli
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引用次数: 2

Abstract

In this paper is given problems in face recognition methods and algorithms, ways of improving of recognition accuracy and decreasing errors. There are false acceptance and rejection errors in face recognition and these errors are decreased by normalization method when detected occlusion faces. For increasing face recognition accuracy and speed is proposed combining of deep learning networks and optimization of filter size.
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选择合适的深度学习网络进行人脸识别
本文给出了人脸识别方法和算法中存在的问题,以及提高识别精度和减少误差的途径。人脸识别存在误接受和误拒绝错误,在检测到遮挡人脸时,采用归一化方法降低了这些错误。为了提高人脸识别的精度和速度,提出了将深度学习网络与滤波器尺寸优化相结合的方法。
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