Implementation of Back Propagation Neural Network with PCA for Face Recognition
نویسندگان
چکیده
منابع مشابه
An Efficient Back Propagation Neural Network Based Face Recognition System Using Haar Wavelet Transform and PCA
With fast evolving technology, it is necessary to design an efficient security system which can detect unauthorized access on any system. The need of the time is to implement an extremely secure, economic and perfect system for face recognition that can protect our system from unauthorized access. So, in this paper, a robust face recognition system approach is proposed for image decomposition u...
متن کاملFace Recognition by using Feed Forward Back Propagation Neural Network
Face recognition technology has seen dramatic improvements in performance over the past decade, and such systems are now widely used for security and commercial applications. In this paper an improved approach has been used in which feed forward back propagation neural network is implemented through matlab. The results obtained shows that the proposed approach somewhat improves the performance ...
متن کاملFace Recognition System Using Back Propagation Artificial Neural Network
The problem in face recognition is to find the best match of an unknown image against a database of face models or to determine whether it does not match any of them well. In this method, we use back propagation neural network for implementation. It is an information processing system that has been developed as a generalization of the mathematical model of human recognition. The function of a n...
متن کاملNeural Network Based Face Recognition Using PCA
Human face is contexture multidimensional point of vision model and by creating computational model for human face recognition is too hard. The paper present two methodologies for the face recognition, the first one is feature extraction and second is the feed forward back propagation neural network. The feature extraction is with Principal Component Analysis and classification with the help of...
متن کاملModular Approach for Face Recognition System using Multilevel Haar Wavelet Transform, Improved PCA and Enhanced Back Propagation Neural Network
With rapidly developing technology, it is important to invent an efficient and effective security system that will help to detect unauthorized access on any system. Hence it is essential necessary to implement a highly secure, economic and reliable face recognition system to enable the protection of computer systems from unauthorized access. So, in this paper a fast efficient approach is propos...
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: Global Journal of Computer Science and Technology
سال: 2019
ISSN: 0975-4172,0975-4350
DOI: 10.34257/gjcstgvol19is3pg21