Classification of fused face images using multilayer perceptron neural network

07/05/2010
by   Debotosh Bhattacharjee, et al.
0

This paper presents a concept of image pixel fusion of visual and thermal faces, which can significantly improve the overall performance of a face recognition system. Several factors affect face recognition performance including pose variations, facial expression changes, occlusions, and most importantly illumination changes. So, image pixel fusion of thermal and visual images is a solution to overcome the drawbacks present in the individual thermal and visual face images. Fused images are projected into eigenspace and finally classified using a multi-layer perceptron. In the experiments we have used Object Tracking and Classification Beyond Visible Spectrum (OTCBVS) database benchmark thermal and visual face images. Experimental results show that the proposed approach significantly improves the verification and identification performance and the success rate is 95.07 of employing fusion is to produce a fused image that provides the most detailed and reliable information. Fusion of multiple images together produces a more efficient representation of the image.

READ FULL TEXT
research
07/05/2010

Image Pixel Fusion for Human Face Recognition

In this paper we present a technique for fusion of optical and thermal f...
research
07/05/2010

A Parallel Framework for Multilayer Perceptron for Human Face Recognition

Artificial neural networks have already shown their success in face reco...
research
05/21/2010

Classification of Polar-Thermal Eigenfaces using Multilayer Perceptron for Human Face Recognition

This paper presents a novel approach to handle the challenges of face re...
research
07/05/2010

Human Face Recognition using Line Features

In this work we investigate a novel approach to handle the challenges of...
research
07/05/2010

Fusion of Daubechies Wavelet Coefficients for Human Face Recognition

In this paper fusion of visual and thermal images in wavelet transformed...

Please sign up or login with your details

Forgot password? Click here to reset