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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。
According to some personal characteristics, such as face shape, fingerprints, voiceprint, handwritten signature habits, etc. can be human identity verification. This paper describes the automatic recognition systems related to electroacoustic technology and speech acuity that use handwritten signature and voice for personal identification. These systems have high accuracy, not easy to pretend, etc., can be used for bank reimbursement, warehouse access control and security department.