Pengenalan Wajah (Face Recognition) dengan Menggunakan Metode Surf (Speeded Up Robust Features)

Nuryanto, Wibowo Joko and , Dedy Ary Prasetya, S.T., M.Eng. (2017) Pengenalan Wajah (Face Recognition) dengan Menggunakan Metode Surf (Speeded Up Robust Features). Diploma thesis, Universitas Muhammadiyah Surakarta.

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Abstract

face is a common object in computer vision technology research and image processing. This is because the face is a common thing used to distinguish face ID from one to another of course need some interest point to select the amount of data, Scale Space Representation to handle scale differences in object scales, Feature Desciption, Feature Matching and Recognition. For the processing of some kind of method it is more appropriate to use algoritma SURF (Speed Up Robust Features). The Data based on an example of a face image is matched with the face image in the available data base by measuring the lavel of equation with various kinds of methods Interest Point, Scale Space, Feature Description, Feature Matching and Face Recognition. The purpose of this research in just to apply the feature SURF in the library Open CV written using Python Programming Language. The average face tested for 30 image can be recognized all though there are 12 Unsaved data due to the lighting Factor and distance Factor with the camera. Based on match statistic data matching value with value 1.00000 stated match less than 98% the value is only about 65 % the same though the image is dropped.

Item Type:	Karya ilmiah (Diploma)
Uncontrolled Keywords:	Face Detection, Python, OpenCv, Surf (Speed Up Robust Features) and Face Recognition
Subjects:	T Technology > TR Photography
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	Wibowo Joko Nuryanto
Date Deposited:	17 Nov 2017 03:21
Last Modified:	17 Nov 2017 03:23
URI:	http://eprints.ums.ac.id/id/eprint/57625

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