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Progress in Face Recognition Over Evolutionary Deep-Indicators Algorithm

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Document pages: 11 pages

Abstract: We propose new approach for facial recognition based on an Evolutionary Deep-indicators Algorithm. The main purpose of this strategy is to reach a model which can compete with human vision sensibility. This optimized model revolves around a facial chromosome that benefits from all paradigms in the same area ; such as Gaussian model, Deep learning, Eigen vector, Evolutionary mechanism. The intelligent model will be then implemented on Jetson TK1 to check its speed in response time compared to a regular CPU. This powerful tool is a NVIDIA s embedded Linux development platform featuring a Tegra K1 system on chip SOC which contains a central processor unit CPU, a graphic processor unit GPU and an image signal processor ISP in single chip. Our work is experimented using AT&T Face database seen its popularity across the international community and it provides very significant results, reaching 97.5 , compared to existing models with real time systems RTS tendencies.

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