摘要
依据某些个人特征,如脸形、指纹、声纹、手写签字习惯等可以进行人的身份验证。本文分别描述了与电声技术和语言声学有关的,利用手写签字习惯和话音来进行个人身份验证的自动核认系统。这些系统有高准确性,不易冒充等优点,可用于银行兑款,仓库取物以及保密部门入口控制。
The status of an individual can be identified in the light of its characteristics such as features, fingerprint, voice pattern and the habit of signature ect. This paper describes the automatic identification of personal status system related to clectroacoustical technique and speech acoustics hy means of the habit of signature respectivly. This system has high accurate, not easy to be counterfeited. With this advantage, it can be used for currency exchange in the bank, for picking up goods from the store and for entry control.
出处
《电声技术》
北大核心
1989年第5期9-15,共7页
Audio Engineering
