Volume 7 Issue 4 - November 2016

  • 1. Genetic algorithm based corpus optimization technique for continuous user authentication

    Authors : Sonu Agrawal, Dr. Sushil Kumar, Dr. Sanjay Kumar, Dr. Ani Thomas

    Pages : 189-196

    DOI : http://dx.doi.org/10.21172/1.74.031

    Keywords : Artificial Neural Network (ANN)Genetic Algorithms (GA)Optimization TechniquesAgeingAFR

    Abstract :

    Face recognition has been quick growing and challenging field of real time application. Many research works has been done in the area of face recognition with aging and poses. This paper presents a novel approach for optimization of corpus automatically. The proposed work consists of two major stage verification and updation. In verification stage the unknown image with different age of human face is taken and considerable amount of feature have been extracted, these extracted feature are matched with vast corpus of human face images. If the feature matches with the corpus, then to support updation process the extracted features from unknown image are average with the features which is already stored in the corpus and the averaged features are replaced in the corpus with matched one. The updation process has been with the best fit matching using Genetic algorithm. For this an algorithms known as GABAOT (Genetic Algorithms based Automatic Optimization Techniques) has been proposed in the present paper. The algorithm has been tested with the 10 subject of varying age in the present work. Thorough discussion has been done in the present paper along with the proposed algorithms for automatic updation of corpus. The result has been found very satisfactory.

    Citing this Journal Article :

    Sonu Agrawal, Dr. Sushil Kumar, Dr. Sanjay Kumar, Dr. Ani Thomas, "Genetic algorithm based corpus optimization technique for continuous user authentication", https://www.ijltet.org/journal_details.php?id=909&j_id=3521, Volume 7 Issue 4 - November 2016, 189-196, #ijltetorg