Soft Computing and LGXP techniques for Ear Authentication using Progressive Switching Pattern
In the present paper, Ear Authentication (EA) one of the most popular research problem has been carried out using knowledge based model. In the middle of the work for the proper scaling and rectification of the image a unique technique has been employed. The work has been carried out in two phase, training phase and recognition phase. In training phase , in training phase a knowledge based model has been framed using ANN and LGXP techniques. The methodologies that have been employed for the formation of model are IWT, ANN and LGXP techniques. In the second phase i.e. Recognition phase the EAR_MODEL has been understood for Ear Authentication. To support authentication process the recognition phase has been carried out using progressive switching pattern soft computing and LGXP techniques. For this an algorithms known as SCBEA (Soft-Computing based Ear Authentication)has been propose in the present paper and tested with 50 subjects. The result has been found very satisfactory with the tested data sets.
- There are currently no refbacks.
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.