Eye Detection Using Gabor Filter, Neural Network and Skin Color
In this paper, we have proposed a new robust method of eye detection based on Gabor filter, neural network, skin color, and eye template. First, the faces are detected by a system composed of a Gabor filter, and a neural network. Then, in the faces detected, we have removed the skin regions, and keep only the non-skin regions which have a high probability to be eyes. Then, these non-skin regions are compared with an eye template to locate the position of the eyes. The obtained results show that our method is robust and provides superior performance compared to other methods recently published.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.