一种指纹特征识别的可信验证数字签名系统

针对云计算定制和交付两个出入口的安全问题,提出一种以可信云安全计算为支撑,基于传统密码学数字签名技术,设计了以生物指纹特征为可信计算的验证数字签名技术模型.首先利用二值化和细化算法生成1个像素宽度纹线的指纹图像教学模型框架,提取框架中的指纹特征点,进行数字指纹特征点的拓扑结构等价变换,并进行非对称加密,实现了基于指纹特征识别的可信验证数字签名信任根.结果表明该方法具备生物特征“零知识”验证特点,具有抗攻击性强、加解密运算速度快的优势,从而提高可信云-端的用户安全防御能力.

A Trusted Verification Digital Signature System Based on Fingerprint Features Recognition

Aiming at the safety problems of customization entrance and delivery entrance of cloud computing, a trusted and secure cloud computing as the support, digital signature technology based on traditional cryptography is mentioned, a digital signature verification technology model of trusted computing is designed with the biological fingerprint features. Firstly, a fingerprint image mathematical model of pixel width line is generated by using binarization and thinning algorithm, fingerprint feature points in the framework are picked up for topological structure equivalent transformation of digital fingerprint feature points, the non symmetric encryption is carried out and the trust root of trusted verification digital signature based on finger print features recognition is obtained. The results show： this model, with the validation characteristics of ＂zero knowledge＂ biological characteristics, has advantages of strong anti aggressivity and fast encryption and decryption speed, so as to enhance the user＇s security defense capability of trusted cloud-end.