Face recognition by neural network using bit-planes extracted from an image

Ting, K.C and Tan, J.Y.B. and Lee, T.Z and Bong, David B L (2013) Face recognition by neural network using bit-planes extracted from an image. Journal of Information & Computational Science, 10 (16). pp. 1-9. ISSN 1548-7741

[img]
Preview
PDF
Face_Recognition_by_Neural_Network_Using_Bit-plane (abstrak).pdf

Download (83kB) | Preview
Official URL: http://www.jic.org.uk/

Abstract

An 8-bit digital image consists of 256 levels of gray-value and 8 layers of multilevel information of bits known as bit-plane information. A novel method utilizing higher order bit-plane information that contains majority of visually signi_cant data and dummy blank images as inputs to a multilayer feedforward Neural Network (NN) is proposed in this paper to perform face recognition. Experiments performed on the proposed face recognition model using two face databases, namely CMU AMP face expression database and Yale face database, show improvement in recognition rate compared to using only gray-level images as inputs to the NN.

Item Type: Article
Uncontrolled Keywords: unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak, Bit-plane; Face Recognition; Image Processing; Neural Network
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Saman
Date Deposited: 06 Apr 2017 02:29
Last Modified: 03 May 2017 00:37
URI: http://ir.unimas.my/id/eprint/15852

Actions (For repository members only: login required)

View Item View Item