Normalized Feature descriptor for Face recognition using RBF-Neural network

  • V Vinay Kumar University of Pune
Keywords: Face recognition, Normalized feature, RBF, Neural Network

Abstract

Face recognition is a major application in biometric based security system. The accuracuy of such learnig system are however dependednt on the descritpive feature and the classification system used. It is required to have a faster and accurate retreival so as to acheive hgihest rate of retreivation, improvizing robustness of a face recogntion system. The facial feature hence paly an important role in retreival accuarcy. In this paper a nromilzed feature descritpor is defiend to overcome the effect of surrounding environemnt on face recogntion. Towards the retreival accruacy these normized features are trainied with RBF based neural netork to acheive faster and accurate retrival. This approach improvizes the retreival accuracy hence increasing the robutness of the face recogntion system.

References

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Published
2018-03-23
How to Cite
Kumar, V. (2018). Normalized Feature descriptor for Face recognition using RBF-Neural network. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 1(1). Retrieved from http://asianssr.org/index.php/ajct/article/view/120
Issue
Vol 1 (2015): Issue VI
Section
Article

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