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Author/Affiliation: Evan HurwitzOpen AccessArticle
24 Pages, 5,041 KB 
Multi Biometric Thermal Face Recognition Using FWT and LDA Feature Extraction Methods with RBM DBN and FFNN Classifier Algorithms
Abstract:
Person recognition using thermal imaging, multi-biometric traits, with groups of feature filters and classifiers, is the subject of this paper. These were used to tackle the problems of biometric systems, such as a change in illumination and spoof attacks. Using a combination of, hard and soft-biometric, attributes in thermal facial images. The hard-biometric trait, of…
Read More(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))