Use of image enhancement techniques for improving real time face recognition efficiency on wearable gadgets

The objective of this research is to study the effects of image enhancement techniques on face recognition performance of wearable gadgets with an emphasis on recognition rate.in this research,a number of image enhancement techniques are selected that include brightness normalization,contrast normalization,sharpening,smoothing,and various combinations of these. subsequently test images are obtained from at&t database and yale face database b to investigate the effect of these image enhancement techniques under various conditions such as change of illumination and face orientation and expression.the evaluation of data,collected during this research,revealed that the effect of image pre-processing techniques on face recognition highly depends on the illumination condition under which these images are taken. it is revealed that the benefit of applying image enhancement techniques on face images is best seen when there is high variation of illumination among images. results also indicate that highest recognition rate is achieved when images are taken under low light condition and image contrast is enhanced using histogram equalization technique and then image noise is reduced using median smoothing filter. additionally combination of contrast normalization and mean smoothing filter shows good result in all scenarios. results obtained from test cases illustrate up to 75% improvement in face recognition rate when image enhancement is applied to images in given scenarios. © school of engineering,taylor’s university.