Student attendance system using facial recognition with AI

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dc.contributor.authorPathan, Siraj
dc.contributor.authorShaikh, Aijaz (16DET120)
dc.contributor.authorJadhav, Mayur (16DET86)
dc.contributor.authorKhan, Zafar (16DET97)
dc.contributor.authorSangram, Haaris (16DET64)
dc.date.accessioned2019-05-30T07:42:02Z
dc.date.available2019-05-30T07:42:02Z
dc.date.issued2019-05
dc.descriptionSubmitted in partial fulfillment of the requirements for the degree of Bachelor of Engineering 2019en_US
dc.description.abstractAuthentication is one of the significant issues in the era of information system. Among other things, human face recognition (HFR) is one of known techniques which can be used for user authentication. As an important branch of biometric verification, HFR has been widely used in many applications, such as video monitoring/surveillance system, human-computer interaction, door access control system and network security. This PROJECT proposes a method for student attendance system in classroom using face recognition technique by combining Discrete Wavelet Transforms (DWT) and Discrete Cosine Transform (DCT) to extract the features of student’s face which is followed by applying Radial Basis Function (RBF) for classifying the facial objects.en_US
dc.identifier.urihttp://www.aiktcdspace.org:8080/jspui/handle/123456789/3059
dc.language.isoenen_US
dc.publisherAIKTCen_US
dc.relation.ispartofseriesPE0474;
dc.subjectProject Report - EXTCen_US
dc.titleStudent attendance system using facial recognition with AIen_US
dc.typeProject Reporten_US
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