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Face Recognition Algorithm And Implementation In Personnel Location System

Posted on:2022-09-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y R LuFull Text:PDF
GTID:2518306563460704Subject:Optical Engineering
Abstract/Summary:PDF Full Text Request
With the continuous improvement of human requirements for living standards,the social needs for positioning and identification are increasing day by day.In the indoor environment,such as shopping malls,offices,railway stations,laboratories,etc.,it is often necessary to determine the indoor location of personnel and the identity information of the personnel in the location.It is one of the key technologies for indoor personnel positioning to correctly obtain the identity information of personnel and to correctly assign the identity information to the acquired location information.In this paper,research is carried out for indoor personnel positioning needs,focusing on the research of personnel identity acquisition technology.Fingerprint recognition,voice print recognition and face recognition are commonly used in obtaining personal identity information.In this paper,indoor personnel positioning system,reuse indoor positioning sensors,using face recognition method to obtain identity information.LBP(Local Binary Pattern)operator has excellent computing power and recognition ability,and is widely used in image processing,fingerprint recognition,face recognition,license plate recognition and other aspects.In this paper,this operator is used in face recognition,and a good recognition effect is obtained.The main work of this paper is as follows:(1)System construction.According to the selected sensor,simulate the actual application scene,build the face recognition system,complete the sensor performance test,and obtain the face color image and depth image.(2)Face recognition.By using LBP operator,face recognition is carried out on the collected color images,and the factors that affect the accuracy of face recognition are studied by experiments,and the optimal number of training sets and the optimal recognition distance are determined.(3)Vivo detection.The depth map is used to determine whether the corresponding color map has depth information change and whether the identified person is alive.(4)Improve the design of the software interface with demonstration function,simple measurement and identification integration,convenient system integration,used for indoor personnel detection,employee attendance detection and other aspects.
Keywords/Search Tags:Personnel management, Face recognition, LBP, Distance measurement
PDF Full Text Request
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