图像处理技术在赤潮生物自动识别中的应用

根据赤潮生物显微图像的特点 ,研究图像的预处理、分割和特征提取的处理过程 通过与其他自动分割方法进行比较 ,证明采用二维最大熵法可以有效地进行赤潮生物图像的自动阈值分割 ,并结合轮廓分析法和纹理分析法对于赤潮生物图像进行特征提取 实验结论表明 ,与人工识别计数方式比对 ,识别符合率大于 80 %

一种简单快捷的离线签名认证方法

计算机生物认证是指根据人类自身特征进行身份识别的过程。生物识别技术是计算机科学中的一种身份认证和访问控制,是保持人类隐私的最安全方法之一。生物认证可分为两类:行为(签名验证,击键动力学等)和生理(虹膜特征、指纹等)。手写签名认证是在计算机问世前使用的第一批生物识别技术之一。离线签名验证是一种利用人的手写签名度量的动态性分析签名的物理活动的认证方法。签名生物识别系统的核心是行为,在文章中,我们提出了一种采用像素匹配技术的离线签名验证系统。所提出的方法的性能已经与现有SVM(支持向量机)加权Fisher线性分类器技术相比较过。

Auto-Aligned Sharing Fuzzy Fingerprint Vault

Recently, a cryptographic construct,called fuzzy vault, has been proposed for crypto-biometric systems, and some implementations for fingerprint have been reported to protect the stored fingerprint template by hiding the fingerprint features. However, all previous studies assumed that fingerprint features were pre-aligned, and automatic alignment in the fuzzy vault domain is a challenging issue.In this paper, an auto-aligned sharing fuzzy fingerprint vault based on a geometric hashing technique is proposed to address automatic alignment in the multiple-control fuzzy vault with a compartmented structure. The vulnerability analysis and experimental results indicate that, compared with original multiplecontrol fuzzy vault, the auto-aligned sharing fuzzy fingerprint vault can improve the security of the system.