Multi-user face recognition attendance system and attendance method thereof

Abstract

The invention provides a multi-user face recognition attendance system and an attendance method thereof. The method comprises the steps of recording student information, making a course arranging planof an attendance spot, and uploading the student information and the course arranging plan to an attendance database; according to the made course arranging plan, automatically acquiring a panoramicimage file of the attendance spot, and uploading the acquired panoramic image file to the attendance database; carrying out face recognition processing on the panoramic image file uploaded into the attendance database, dividing each face image in the panoramic image file, matching each divided face image to the student information recorded in the attendance database, outputting a matching result into the attendance database, and building an attendance relationship. According to the multi-user face recognition attendance system and the attendance method thereof provided by the invention, identities of all attenders (N persons) on the spot can be automatically recognized only through one on-the-spot panoramic image file, and meanwhile, absent people can be also recognized and counted.

Description

technical field [0001] The invention relates to an attendance system, in particular to a multi-person facial recognition attendance system and an attendance method. Background technique [0002] The current time attendance method based on face recognition mainly uses the traditional principal component analysis method to recognize the detected faces. After the attendance attendant enters the attendance system, the system judges whether his face data exists in the database. If it exists, it will directly identify it and add the detection result to the database. If it does not exist, it needs to collect face data first. The realization of this method needs to collect face data one by one for the attendance before the recognition. [0003] However, in the actual situation, there are a large number of attendance personnel. If face data is collected one by one, it will take a lot of time and the data collection efficiency is low. Moreover, this method requires the attendance a...

AI Technical Summary

Problems solved by technology

[0003] However, in the actual situation, there are a large number of attendance personnel. If face data is collected one by one, it will take a lot of time and the data collection efficiency is low.

Moreover, this method requires the attendance to complete the collection of face data independently, and it is difficult to guarantee the quality of the collected face data

In addition, this method has a simple background, stable lighting, and a single facial expression when performing face recognition. However, in actual attendance attendance, there are many attendance personnel, and the changes in background, illumination, posture, and expression are very complicated. The traditional method based on principal components The analyzed face recognition method has a poor recognition rate in actual complex situations

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