Face Recognition System Based on 2dfld and Pca
نویسنده
چکیده
An automated system is used for fast human face recognition. The 2DFLD algorithm is tested on the various databases. PCA algorithm is tested on various databases. As the face system is totally nonintrusive, existing security of face recognition system are more effective without bothering the user in any way. The 2DFLD approach is compared with the standard PCA. The 2DFLD is used for recognizing face. In 2DFLD algorithm an optimal subset of features are used that gives a better results than PAC. The 2DFLD algorithm is faster as compare to PCA. Keywords— Face recognition, Two-dimensional fisher’s linear discriminate (2DFLD), Principal Component Analysis (PCA), Eigenface.
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...
متن کاملDiscriminant Analysis of the two dimensional Gabor Features for face recognition
In this paper, a new technique called Two Dimensional Gabor Fisher Discriminant (2DGFD) is derived and implemented for image representation and recognition. In our approach, the Gabor wavelets are used to extract facial features. The Principal Component Analysis (PCA) is applied directly on the Gabor transformed matrices to remove redundant information from the image rows and a new direct two d...
متن کاملتشخیص چهره با استفاده از PCA و فیلتر گابور
Methods for face recognition which are based on face structure are among techniques without supervision and produce unfavorable results in the presence of linear changes in images. PCA is a linear transform and a powerful tool for data analysis but does not produce good results for face recognition when there are non-linear changes resulting from changes in position, intensity and gesture in th...
متن کاملFuzzy 2-Dimensional FLD for Face Recognition
This paper proposes a new method of face image feature extraction, namely, the fuzzy 2DFLD (F2DFLD) based on the 2D fisher discriminant criterion and fuzzy set theory. In the proposed method, we calculate membership degree matrix by FKNN, then we incorporate the membership degree into the definition of the between-class scatter matrix and within-class scatter matrix and get the fuzzy between-cl...
متن کاملFace Recognition System Based on PCA and Feedforward Neural Networks
Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this paper, a face recognition system, based on the principal component analysis (PCA) and the feedforward neural network is developed. The system consists of two phases which are the PCA preprocessing phase, and the neural ne...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013