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- W4200443920 abstract "Today on the market there is a stable and significant increase in demand for biometric access control systems, fingerprints are on the priority lists. Approaches to the recognition of the biometric system of fingerprints based on machine learning methods have been developed. The system performance evaluation determines two parameters, False Acceptance Rate, and False Rejection Rate. In order to meet the requirements for fingerprint verification systems, which are FAR = 10 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>−4</sup> and FRR = 10 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>−2</sup> , the method of machine learning with the teacher was used. Experimental results were obtained, which showed the effectiveness of the proposed method." @default.
- W4200443920 created "2021-12-31" @default.
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- W4200443920 date "2021-09-22" @default.
- W4200443920 modified "2023-09-26" @default.
- W4200443920 title "Design of biometric system and modeling of machine learning for entering the information system" @default.
- W4200443920 doi "https://doi.org/10.1109/csit52700.2021.9648770" @default.
- W4200443920 hasPublicationYear "2021" @default.
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