An Automatic Face Alignment and Classification System
Date Issued
2010
Date
2010
Author(s)
Hung, Jui-Yu
Abstract
Face recognition can be applied to many different fields. For example, the building entrance security control, the criminal verification, and the identity of the network trade, etc. The gender and age recognition also can be used for department store. The digital screen can show different products with different genders people.
We propose a fully automatic system that detects and normalizes faces in images and recognizes their identity and genders.
There are two parts in this system. First step is face acquisition. We use Active Shape Model to find facial features, which are eyes, nose, and mouth. To boost the recognition accuracy, we correct the in-plane rotations of faces, and align faces based on estimated above positions of facial features. Second step is recognition. There are face recognition, gender recognition and age recognition. We use Facial Trait Code (FTC) to encode facial images for face recognition, and we combine the Principle Component Analysis (PCA) and Support Vector Machine (SVM) for gender recognition.
Totally it cost only 0.65 seconds to process single face image from face detection to classification.
Subjects
Face Detection
Face Alignment
Face Recognition
Gender Recognition
SDGs
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-99-R97944016-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):97b1932da77b25803a365ab184cf6cf5