Journal of Bioinformatics, Proteomics and Imaging AnalysisJournal of Bioinformatics, Proteomics and Imaging AnalysisJournal of Bioinformatics, Proteomics and Imaging AnalysisJournal of Bioinformatics, Proteomics and Imaging Analysis2381-0793Ommega Online PublishersNew Jersey, USA46410.15436/2381-0793.16.009Research ArticleA MATLAB-based Convolutional Neural Network Approach for Face Recognition SystemA MATLAB-based Convolutional Neural Network Approach for Face Recognition SystemSyafeeza Ahmad RadziFaculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Malacca MalaysiaEditor* E-mail: syafeeza@utem.edu.my
The authors have declared that no competing interests exist.
20160102201621JBPR-15-RA-464/RA-00905082015290120162016Creative Commons Attribution LicenseThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.The research on face recognition still continues after several decades since the study of this biometric trait exists This paper discusses a method on developing a MATLAB-based Convolutional Neural Network CNN face recognition system with Graphical User Interface GUI as the user input The proposed CNN has the ability to accept new subjects by training the last two layers out of four layers to reduce the neural network training time The image preprocessing steps were implemented in MATLAB while the CNN algorithm was implemented in C language using GCC compiler A Graphical User Interface GUI in MATLAB links all the steps starting from image preprocessing to face identification process Evaluation was carried out using the images of 40 subjects from AT amp T database and 10 subjects from JAFFE database producing 100 accuracy with less than 1 minute average training time when inserting 1 to 10 new subjects into the system 10