An approach to maintain attendance using image processing techniques

C. B. Yuvaraj, M. Srikanth, V. S. Kumar, Vishnu Srinivasa Murthy Yarlagadda, S. Koolagudi
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引用次数: 16

Abstract

Nowadays, the research is growing towards the invention of new approaches. One such most attracted application is face recognition of image processing. There are several innovative technologies have been developed to take attendance. Some prominent ones are biometric, thumb impressions, access card, and fingerprints. The method proposed in this paper is to record the attendance through image using face detection and face recognition. The proposed approach has been implemented in four steps such as face detection, labelling the detected faces, training a classifier based on labelled dataset, and face recognition. The database has been constructed with the positive images and negative images. The complete database has been divided into training and testing set and further, processed by a classifier to recognize the faces in a classroom. The final step is to take the attendance using face recognition technique in which the input image of a classroom is given, and faces of the given image will be detected along with their IDs. The frames of a video taken for a minute is taken into consideration to avoid the missed ones due to rotational issues.
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一种使用图像处理技术保持考勤的方法
如今,研究正朝着发明新方法的方向发展。其中一个最吸引人的应用是图像处理中的人脸识别。有一些创新的技术已经被开发出来。一些突出的特征是生物特征、拇指印、门禁卡和指纹。本文提出的方法是利用人脸检测和人脸识别技术,通过图像记录考勤情况。该方法分为四个步骤:人脸检测、标记检测到的人脸、基于标记数据集训练分类器和人脸识别。用正面图像和负面图像构建了数据库。将完整的数据库分为训练集和测试集,再通过分类器进行处理,实现课堂人脸识别。最后一步是使用人脸识别技术进行考勤,其中输入教室的图像,然后将给定图像的人脸与其id一起检测。每一分钟拍摄的视频的帧被考虑在内,以避免由于轮换问题而错过的帧。
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