Online Training for Face Recognition System Using Improved PCA
نویسندگان
چکیده
منابع مشابه
Face Recognition using Eigenfaces , PCA and Supprot Vector Machines
This paper is based on a combination of the principal component analysis (PCA), eigenface and support vector machines. Using N-fold method and with respect to the value of N, any person’s face images are divided into two sections. As a result, vectors of training features and test features are obtain ed. Classification precision and accuracy was examined with three different types of kernel and...
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Performances of face recognition systems based on principal component analysis can degrade quickly when input images exhibit substantial variations, due for example to changes in illumination or pose, compared to the templates collected during the enrolment stage. On the other hand, a lot of new unlabelled face images, which could be potentially used to update the templates and re-train the sys...
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ژورنال
عنوان ژورنال: ComTech: Computer, Mathematics and Engineering Applications
سال: 2011
ISSN: 2476-907X,2087-1244
DOI: 10.21512/comtech.v2i2.2952