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Validating Biometric Pattern Recognition using Tableau: An Empirical Study
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 32 |
| Year of Publication: 2023 |
| Authors: S.M. Emdad Hossain, M. Raisuddin Ahmed, Mohammad Amir, S. Arockiasamy, Sallam Fageeri |
10.5120/ijca2023923080
|
S.M. Emdad Hossain, M. Raisuddin Ahmed, Mohammad Amir, S. Arockiasamy, Sallam Fageeri . Validating Biometric Pattern Recognition using Tableau: An Empirical Study. International Journal of Computer Applications. 185, 32 ( Aug 2023), 9-12. DOI=10.5120/ijca2023923080
Abstract
In this paper tableau is being experimented as a primary tool to validate the results of biometric pattern recognition e.g. face, ear, gait etc. which will lead to person identification. After completing the dimensionality reduction using LDA (linear discriminant analysis), we will classify every single subject using number of prominent classifiers MLP and SMO. By using tableau, we are planning to confirm the right pattern of subject ID by comparing the training dataset with the testing data. For the experiment we will use multi-dimensional data from use CASIA database. After extracting the image from the video we will reduce dimensionality of every single image before mining the Eigen vector. Finally, the Eigen vector will feed to our proposed platform as two different form of data (training and testing). Matlab is our primary language for the experiment.
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