FACE RECOGNITION DENGAN MENGGUNAKAN METODE NEURAL NETWORK PRINCIPAL COMPONENT ANALYSIS
| Main Author: | W., DONY YAN PRIYANTO |
|---|---|
| Format: | Thesis NonPeerReviewed |
| Terbitan: |
, 2011
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/15341/ |
Daftar Isi:
- As now days, someone knows other individual by recognized their face. Early face recognition algorithm using a simple geometric model. Initiatives and major advances has driven facial recognition technology into the camera and photo. Face recognition is a biometric technology that has been widely applied in security system in addition to the eye retina recognition, fingerprint recognition, and iris recognition. Face recognition provides intelligence to the computer to identify someone?s face. To be able to recognize individual?s face, the first step is face detection system. By detecting the face, it can be determined whether the image is a face or not. This project is about the algorithms that are needed so that the computer can recognize and identify the face. In attempt to detect the face, the face recognize system has a several stages. The stages are take the original photo, skin color detection process, face detection process, cutting the image process and image magnification, and the final process is feature detection. The last process of face detection using principal component analysis method. Principal component analysis is a method that identifies each pixel in the search for facial features such as eyes, nose, and mouth. The language program use PHP language which is a web-based programming language. At the final stage of the system, the image will be identified feature points.