Attendance management app using face regonition

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dc.contributor.author Balsing, Altaf
dc.contributor.author Khan, Amanullah Vasiulah (12ET24)
dc.contributor.author Nachan, Shaineela Sahir (17DET54)
dc.contributor.author Hanfi, Sameena Asadullah (16ET03)
dc.date.accessioned 2021-11-08T09:39:24Z
dc.date.available 2021-11-08T09:39:24Z
dc.date.issued 2020-05
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/3618
dc.description.abstract Commencing from the last decade several different methods have been planned and developed in the prospect of face recognition that is one of the chief stimulating zone in the area of image processing. Face recognitions processes have various applications in the prospect of security systems and crime investigation systems. The study is basically comprised of three phases, i.e., face detection, facial features extraction and face recognition. The first phase is the face detection process where region of interest i.e., features region is extracted. The 2nd phase is features extraction. Here face features i.e., eyes, nose and lips are extracted out commencing the extracted face area. The last module is the face recognition phase which makes use of the extracted left eye for the recognition purpose by combining features of Eigenfeatures and Fisher features. en_US
dc.language.iso en en_US
dc.publisher AIKTC en_US
dc.subject Project Report - EXTC en_US
dc.title Attendance management app using face regonition en_US
dc.type Other en_US


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