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A real and accurate MacGyver based Medical doctors Face emotion Recognition with GoogleNet Deep learning technique
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| Author:
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B.KANAKA DURGA, DR. V. RAJESH
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| Abstract:
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The face recognition system expresses the complete information about human emotions and providing the interactive social association. Moreover it indicates that culture, ethics and geographical information. The facial expression clearly intimate that various attitude of humans such that extracting the original feeling. Many face recognition models have some limitations especially faces are in various poses or orientations. The earlier methods cannot recognize the facial expressions and complex in operations. Therefore an advanced face recognition system design is necessary to crossover the above limitations. In this research work a real and accurate “Macgyver” face recognition model is implemented with deep learning technique. This technique providing the 99.8% accuracy, 98.23% throughput and 98.92% F1 score have been attained. These experimental results are outperforms the methodology and compete with existed methods.
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| Keyword:
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face recognition system
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2020.12.04.550
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| Download:
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Request For Article
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