Show simple item record

dc.contributor.authorMomtahina
dc.contributor.authorHossain, Rakibul
dc.contributor.authorRahman, Md. Mushfiqur
dc.contributor.authorTania, Onul Ashrafi
dc.date.accessioned2019-02-20T08:44:19Z
dc.date.available2019-02-20T08:44:19Z
dc.date.issued2019-02-20
dc.identifier.urihttp://dspace.uiu.ac.bd/handle/52243/821
dc.description.abstractAs we know, the face is the easiest way to distinguish someone’s individual identity of each other. Face recognition is someone’s personal identification system where it uses personal characteristics to identify his/her individuality. A human face is a three-dimensional object that consists of illumination, pose, expression and these can be identified from a two-dimensional image. A human face recognition procedure has two phases. The first phase is face detection, finding where the face is located at a short distance away. The next phase is an introduction which is recognizing a face as individuals. There are different techniques for face recognition. For our project, we used different python libraries built with deep learning to make it simple in term of calculation and faster response.en_US
dc.language.isoen_USen_US
dc.publisherUnited International Universityen_US
dc.subjectFace recognitionen_US
dc.subjectpersonal identificationen_US
dc.subjectface detectionen_US
dc.titleImage Capturing and Automatic Face Recognitionen_US
dc.typeProject Reporten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record