EconPapers    
Economics at your fingertips  
 

Face Recognition By Using Neural Network

Somya Rastogi () and Shivani Choudhary ()
Additional contact information
Somya Rastogi: Faculty of Information Management, Universiti Teknologi MARA (UiTM) Negeri Sembilan, Rembau Campus
Shivani Choudhary: Assistant Professor, Computer Science Department, Vidya College of Engineering, Meerut

Acta Informatica Malaysia (AIM), 2019, vol. 3, issue 2, 07-09

Abstract: Now a day’s security is a big issue, the whole world has been working on the face recognition techniques as face is used for the extraction of facial features. An analysis has been done of the commonly used face recognition techniques. This paper presents a system for the recognition of face for identification and verification purposes by using Principal Component Analysis (PCA) with Back Propagation Neural Networks (BPNN) and the implementation of face recognition system is done by using neural network. The use of neural network is to produce an output pattern from input pattern. This system for facial recognition is implemented in MATLAB using neural networks toolbox. Back propagation Neural Network is multi-layered network in which weights are fixed but adjustment of weights can be done on the basis of sigmoidal function. This algorithm is a learning algorithm to train input and output data set. It also calculates how the error changes when weights are increased or decreased. This paper consists of background and future perspective of face recognition techniques and how these techniques can be improved.

Keywords: ANN; BPNN; NLP; PCA; Resilient Back propagation (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://actainformaticamalaysia.com/download/765/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaim:v:3:y:2019:i:2:p:07-09

DOI: 10.26480/aim.02.2019.07.09

Access Statistics for this article

Acta Informatica Malaysia (AIM) is currently edited by Associate Professor Dr. Shahreen Kasim

More articles in Acta Informatica Malaysia (AIM) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ().

 
Page updated 2019-12-04
Handle: RePEc:zib:zbnaim:v:3:y:2019:i:2:p:07-09