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- W4387586717 abstract "Face recognition system has become an integral part of the security mechanisms used in the IoT applications. Smart cities and industries started deploying face recognition applications for security purposes through surveillance cameras and biometric systems. In computer vision, facial recognition has been a widely studied area and has become mature. Recent developments in hardware and deep learning usage for face recognition techniques improve accuracy and considerably reduce the processing time after training the model. This chapter proposes a face recognition system with blockchain for a secured and tamper-free facial recognition. The face recognition system uses VGG19 to train image data to identify the face in the image or in the video. VGG19 model is utilized to reduce training time and reduce the sample size. This system uses sample image data to train the model for recognizing the face. With blockchain, the data stored in the database for face recognition, is secured, and prevents unauthorized alteration in the data from hackers or any malicious activities." @default.
- W4387586717 created "2023-10-13" @default.
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- W4387586717 date "2023-01-01" @default.
- W4387586717 modified "2023-10-14" @default.
- W4387586717 title "Secured Face Recognition System Based on Blockchain with Machine Learning" @default.
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- W4387586717 doi "https://doi.org/10.1007/978-981-99-2602-2_2" @default.
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