NDLI: Real-time face recognition based on pre-identification and multi-scale classification

Content Provider	IET Digital Library
Author	Min, Weidong Fan, Mengdan Li, Jing Han, Qing
Abstract	In face recognition, searching a person's face in the whole picture is generally too time-consuming to ensure high-detection accuracy. Objects similar to the human face or multi-view faces in low-resolution images may result in the failure of face recognition. To alleviate the above problems, a real-time face recognition method based on pre-identification and multi-scale classification is proposed in this study. The face area is segmented based on the proportion of human faces in the pedestrian area to reduce the search range, and faces can be robustly detected in complicated scenarios such as heads moving frequently or with large angles. To accurately recognise small-scale faces, the authors propose the multi-scale and multi-channel shallow convolution network, which combines a multi-scale mechanism on the feature map with a multi-channel convolution network for real-time face recognition. It performs face matching only in the pre-identified face areas instead of the whole image, therefore it is more efficient. Experimental results showed that the proposed real-time face recognition method detects and recognises faces correctly, and outperforms the existing methods in terms of effectiveness and efficiency.
Starting Page	165
Ending Page	171
Page Count	7
ISSN	17519632
Volume Number	13
e-ISSN	17519640
Issue Number	Issue 2, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2018.5586
Journal	IET Computer Vision
Publisher Date	2018-10-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Face Area Preidentification Face Matching Face Recognition Feature Map High-detection Accuracy Image Classification Image Matching Image Recognition Image Resolution Low-resolution Image Multichannel Shallow Convolution Network Multiscale Classification Multiscale Mechanism Neural Computing Technique Neural Nets Object Detection Pedestrian Area Real-time Face Recognition Method Small-scale Face
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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