论文标题
分析和开发系统具有多个生物特征识别
Analyze and Development System with Multiple Biometric Identification
论文作者
论文摘要
技术发展迅速增加,身份盗用,消费者欺诈,对个人数据的威胁的原因也在增加。早些时候开发的方法是为了确保盗窃的个人信息无效和安全。在需要技术以更有效地安全性的个人信息安全性时,引入了生物识别技术。老式的传统方法,例如个人识别号(PIN),密码,密钥,登录ID,可以被遗忘,被盗或丢失。在生物识别身份验证系统中,用户可能不记得任何密码或携带任何密钥。作为人们,他们通过物理外观和行为特征彼此认识,生物识别系统使用物理特征,例如指纹,面部识别,语音识别,以区分实际的用户和骗子。为了提高2005年的安全性,生物特征识别方法是政府和业务部门开发的,但是今天它已经到达了所有私营部门,因为银行,财务,家庭安全和保护,医疗保健,业务保障和安全等因生物识别样本和模板的生物识别系统具有一个生物识别性,并且可以识别多个工程的生物识别系统,因此可以替代了多个生物识别,并进行了多种多样的IDPLIES,并替代了新的想法。已经引入了多模式的生物识别识别系统,该系统使用个人是否可以识别为真实用户的两个或多个生物识别数据特征。
Cause of a rapid increase in technological development, increasing identity theft, consumer fraud, the threat to personal data is also increasing every day. Methods developed earlier to ensure personal the information from the thefts was not effective and safe. Biometrics were introduced when it was needed technology for more efficient security of personal information. Old-fashioned traditional approaches like Personal identification number( PIN), passwords, keys, login ID can be forgotten, stolen or lost. In biometric authentication system, user may not remember any passwords or carry any keys. As people they recognize each other by the physical appearance and behavioral characteristics that biometric systems use physical characteristics, such as fingerprints, facial recognition, voice recognition, in order to distinguish between the actual user and scammer. In order to increase safety in 2005, biometric identification methods were developed government and business sectors, but today it has reached almost all private sectors as Banking, Finance, home security and protection, healthcare, business security and security etc. Since biometric samples and templates of a biometric system having one biometric character to detect and the user can be replaced and duplicated, the new idea of merging multiple biometric identification technologies has so-called multimodal biometric recognition systems have been introduced that use two or more biometric data characteristics of the individual that can be identified as a real user or not.