DC Field | Value | Language |
dc.contributor.author | Menshakou, P. A. | - |
dc.contributor.author | Murashko, I. A. | - |
dc.date.accessioned | 2017-03-21T14:14:17Z | |
dc.date.accessioned | 2017-07-18T09:37:54Z | - |
dc.date.available | 2017-03-21T14:14:17Z | |
dc.date.available | 2017-07-18T09:37:54Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Menshakou, P. A. Voice User Identification in Access Control Systems / P. A. Menshakou, I. A. Murashko // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2017) : материалы международной научно-технической конференции (Минск, 16 - 18 февраля 2017 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2017. – С. 175 – 178. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/12312 | - |
dc.description.abstract | In view of the constant development of any business,
we have a lot of data that must be protected. At the moment,
the access control checkpoints are equipped with various types of
access control. But most of the access control devices have a high
price. Moreover, a large part of the costs fall on the allocation of
personal identification for each user agent. The solution to this
problem is voice recognition. The use of biometrics eliminates
the chips and access cards. Avoid loss of means of identification
and theft. And the use of the voice will eliminate the expensive
equipment to read the data. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | Voice | ru_RU |
dc.subject | identification | ru_RU |
dc.subject | neural networks | ru_RU |
dc.title | Voice User Identification in Access Control Systems | ru_RU |
dc.title.alternative | Голосовая идентификация пользователя в системах контроля доступа | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | OSTIS-2017
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