MAKSUDI, ALI (2017) AUTOMATIC SECURITY ENTRANCE SYSTEM SIMULATION USING FACE RECOGNITION. S1 thesis, Universitas Mercu Buana Jakarta.
|
Text (ABSTRAK)
2. Abstract.pdf Download (238kB) | Preview |
|
|
Text (HAL COVER)
1. Cover.pdf Download (422kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
3. Chapter 1.pdf Restricted to Registered users only Download (275kB) |
|
|
Text (BAB II)
4. Chapter 2.pdf Restricted to Registered users only Download (689kB) |
|
|
Text (BAB III)
5. Chapter 3.pdf Restricted to Registered users only Download (402kB) |
|
|
Text (BAB IV)
6. Chapter 4.pdf Restricted to Registered users only Download (604kB) |
|
|
Text (BAB V)
7. Chapter 5.pdf Restricted to Registered users only Download (242kB) |
|
|
Text (DAFTAR PUSTAKA DAN LAMPIRAN)
8. References.pdf Restricted to Registered users only Download (203kB) |
Abstract
Face recognition systems are built on the idea that each person has a particular face structure, and using the facial symmetry, computerized face-matching is possible. The work on face recognition has begun in the 1960’s, the results of which are being used for security in various institutions and firms throughout the world. The images must be processed correctly for computer based face recognition. The face and its structural properties should be identified carefully, and the resulting image must be converted to two dimensional digital data. An efficient algorithm and a database which consists of face images are needed to solve the face recognition problem. In this paper, the author has proposed to create an simulation for security entrance system using face recognition. This system can open the door automatically using face recognition. PCA-Eigenfaces method is used for face recognition. In the recognition process, an eigenface is formed for the given face image, and the Euclidian distances between this eigenface and the previously stored eigenfaces are calculated. The eigenface with the smallest Euclidian distance is the one the person resembles the most. Simulations have been done using the Visual Studio 2015 program. And finally our result show that the face recognition system work perfectly for security entrance. Keywords : Face Detection, Face recognition, PCA- Eigenfaces method, Security.
| Item Type: | Thesis (S1) |
|---|---|
| Call Number CD: | FIK/INFO. 17 229 |
| NIM/NIDN Creators: | 41513010057 |
| Uncontrolled Keywords: | Face Detection, Face recognition, PCA- Eigenfaces method, Security. |
| Subjects: | ?? TJ ?? ?? TK ?? |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | Dede Muksin Lubis |
| Date Deposited: | 04 Oct 2017 02:40 |
| Last Modified: | 16 Oct 2017 05:29 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/38890 |
Actions (login required)
 |
View Item |
