Modular PCA Face Recognition Based on Weighted Average
نویسندگان
چکیده
منابع مشابه
An improved face recognition technique based on modular PCA approach
A face recognition algorithm based on modular PCA approach is presented in this paper. The proposed algorithm when compared with conventional PCA algorithm has an improved recognition rate for face images with large variations in lighting direction and facial expression. In the proposed technique, the face images are divided into smaller sub-images and the PCA approach is applied to each of the...
متن کاملWPFP-PCA: weighted parallel fixed point PCA Face recognition
Principal Component Analysis (PCA) is one of the feature extraction techniques, commonly used in human facial recognition systems. PCA yields high accuracy rates when requiring lower dimensional vectors; however, the computation during covariance matrix and Eigenvalue Decomposition (EVD) stages leads to a high degree of complexity that corresponds to the increase of datasets. Thus, this researc...
متن کاملFace Recognition Based on PCA Algorithm
This paper is proposed the face recognition method using PCA with neural network back error propagation learning algorithm .In this paper a feature is extracted using principal component analysis and then classification by creation of back propagation neural network. We run our algorithm for face recognition application using principal component analysis, neural network and also calculate its p...
متن کاملModular PCA and Probabilistic Similarity Measure for Robust Face Recognition
This paper addresses a probabilistic approach to develop a robust face recognition system to partial variations such as occlusions. Based on the statistical feature extraction methods, we take the modular PCA method which finds eigenspace not for the set of whole images but for the sets of local image patches. Through the local feature extraction approach, we try to overcome the drawback of who...
متن کاملAn enhanced face recognition technique based on Overlapped Modular PCA approach for cropped Log-polar images
-An algorithm for human face recognition, which is based on Overlapped Modular Principal Component Analysis Approach on the Cropped Log-polar images, is presented in this paper. In this technique all the image are divided into sub-images called modules and to avoid loss of features at division lines, overlapped subimages are taken through the division lines. This method is applied on the Croppe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Modern Applied Science
سال: 2009
ISSN: 1913-1852,1913-1844
DOI: 10.5539/mas.v3n11p64