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dc.contributor.authorYash pratap Singh, 19SCSE1010721
dc.contributor.authorHimanshu Barach, 19SCSE1010775
dc.date.accessioned2024-09-18T06:57:28Z
dc.date.available2024-09-18T06:57:28Z
dc.date.issued2023-03
dc.identifier.urihttp://10.10.11.6/handle/1/18111
dc.descriptionSCHOOL OF COMPUTING SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING GALGOTIAS UNIVERSITY, GREATER NOIDA INDIA March, 2023en_US
dc.description.abstractHuman face detection has become a major field of interest in current research because there is no deterministic algorithm to find face(s) in a given image, the algorithms that exist are very much specific to the kind of images they would take as input and detect faces. The problem is to detect faces in the given, colored class group photograph and some it didn’t detect the image color, Face detection in a real-time setting has an-exciting area and arapidly growing challenge. Many public places usually have surveillance cameras for video capture and these cameras have their significant value for security purpose. It is widely acknowledged that the face detection have played an important role in surveillance system as it doesn't need the object's cooperation.en_US
dc.language.isoen_USen_US
dc.publisherGalgotias Universityen_US
dc.subjectFace Recognition Systemen_US
dc.titleFace Recognition Systemen_US
dc.typeTechnical Reporten_US


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