DSpace logo

Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/740
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGHANI KHAN, MUHAMMAD USMAN-
dc.contributor.authorFAROOQ, ALI-
dc.contributor.authorIRSHAD, OMER-
dc.date.accessioned2019-10-29T10:15:20Z-
dc.date.available2019-10-29T10:15:20Z-
dc.date.issued2018-01-01-
dc.identifier.issn2519-5404-
dc.identifier.urihttp://142.54.178.187:9060/xmlui/handle/123456789/740-
dc.description.abstractIn the recent era, face recognition has procured the most important application of image understanding and analysis which is quite evident by some of the recent researches. Computer vision, pattern recognition and biometrics are emerging field for the researchers in the recent past with the focus in the area of the human recognition. Face recognition is an important factor keeping different issues such as robotics, security, attendance system. This paper concentrates on the industrial utility of Computer Vision techniques, namely face detection and recognition module. The present study mainly focuses on the Real Time Face Recognition System (RTFRS) and its applications. This scenario provides the opportunity to treat the face as a biometric identifier, that the person using information about the person or other biological organism, and, that how to deal this identifier for different services.en_US
dc.language.isoen_USen_US
dc.publisherPASTICen_US
dc.subjectReal time Face recognitionen_US
dc.subjectFace detectionen_US
dc.subjectComputer Vision technologyen_US
dc.subjectPattern Recognitionen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectPASTICen_US
dc.titleReal time Face Recognition and Detection for Industrial Applicationen_US
dc.typeArticleen_US
Appears in Collections:Journals

Files in This Item:
File Description SizeFormat 
Article 5.pdf1.7 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.