Saivudin, Saivudin (2020) Family Face Recognition Using Convolutional NeuralNetwork. Other thesis, Universitas Katolik Soegijapranata Semarang.
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Abstract
Face is one of the unique characteristics of human being. Especially in many situation, we can see other people face not only from front-facing but many angle and not always in good condition of light. There are many case where CCTV is use to check whether it is family member or not. When we can know that they are family member or not, but when older person want to know but cannot see as clear as young person it will be the problem. To identify individual identity through face recognition there are many ways to solve this problem. One of the solution is give description to the person who already detected whether he or she are family member or not. This can be done by using CNN for the method and OpenCV for the engine and also TensorFlow. Final result of this project prove that CNN can work enough to detect face. This project is succeed because it get 86% for the result whether the person that detected by the CCTV are family member or not.
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | ms F. Dewi Retnowati |
| Date Deposited: | 28 May 2021 02:41 |
| Last Modified: | 28 May 2021 02:41 |
| URI: | http://repository.unika.ac.id/id/eprint/25279 |
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