[1]洪宇轩.基于 ArcFace 框架的课堂环境下人脸识别算法设计[J].计算机技术与发展,2021,31(08):57-62.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 010]
　HONG Yu-xuan.Design of Face Recognition Algorithm in Classroom Environment Based on ArcFace[J].,2021,31(08):57-62.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 010]
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基于 ArcFace 框架的课堂环境下人脸识别算法设计()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年08期
页码:
57-62
栏目:
图形与图像
出版日期:
2021-08-10

文章信息/Info

Title:
Design of Face Recognition Algorithm in Classroom Environment Based on ArcFace
文章编号:
1673-629X(2021)08-0057-06
作者:
洪宇轩
南昌航空大学,江西 南昌 330063
Author(s):
HONG Yu-xuan
Nanchang Hangkong University,Nanchang 330063,China
关键词:
ArcFace; 人脸识别; 图像增强; 目标检测; 课堂考勤
Keywords:
ArcFace; face recognition; image enhancement; target detection; classroom attendance
分类号:
TP302
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 08. 010
摘要:
针对目前各高校现有的课堂考勤系统进行分析,提出了基于人脸识别的课堂考勤系统。 又因为在课堂环境下有人脸识别准确率较低以及漏检率高等问题,基于 ArcFace 人脸识别框架进行了改进,融合了图像增强技术和目标检测技术。 首先通过教室内部摄像头视频流的提取,根据图像清晰与否判断是否使用图像增强技术对图片进行增强处理,再通过目标检测算法筛选出所有学生,最后对筛选出的学生正脸图像使用 ArcFace 算法提取人脸特征,并用于识别。 通过实验对比显示,该方案提高了人脸识别率,降低了漏检率,比原有的 ArcFace 人脸识别框架识别率更高。 此方案更适合使用于课堂环境下,也解决了课堂环境下识别率低及漏检率高的问题。
Abstract:
Based on the analysis of the current classroom attendance system in colleges and universities,a classroom attendance system based on face recognition is proposed. Because of the low accuracy and high miss rate of face recognition in classroom environment,we improve the framework of face recognition based on ArcFace, which integrates image enhancement technology and target detection technology. First of all,through the extraction of classroom camera video stream,according to whether? ?the image is clear or not,the image enhancement technology should be used to enhance the image,and then all students are selected by the target detection algorithm. Finally,the ArcFace algorithm is used to extract face features of the screened students爷 face image and identify them. The experimental comparison shows that the proposed scheme improves the face recognition rate, reduces the missed detection rate, with a higher recognition rate than the original ArcFace face recognition framework. It is more suitable for classroom environment,and also solves the problems of low recognition rate and high rate of missed detection in classroom environment.

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更新日期/Last Update: 2021-08-10