基于在线手写签名的密钥生成方法

HFCAS OpenIR

	基于在线手写签名的密钥生成方法
其他题名	Key Generation Method Based on On-line Handwritten Signature
	2016-01-01
发表期刊	计算机工程
ISSN	1000-3428
摘要	为实现生物密钥特征可靠性编码,基于在线手写签名,提出一种在线签名生成密钥的方法,即基于等概率质量量化的动态位分配方法。该方法采用Fisher Ratio准则进行用户依赖的特征选择,选取最能表征用户的特征,运用基于似然比的静态位分配方法中等概率量化思想,根据特征区间控制系数确定注册样本特征量化概率质量,以提高注册阶段的时间性能。考虑到计算量化概率质量时定积分运算的时间成本,提出以曲线段所接梯形面积来替代定积分的优化策略。在SVC2004签名数据库上进行认证性能验证实验及时间复杂度对比实验,结果表明,该方法获得的错误接受率为2.54%,错误拒绝率为28.63%,梯形改进的量化方法签名注册时间为9 s,约为原高斯积分量化方法的1/10。
其他摘要	In order to implement biological keys reliablility coding, on the basis of online hand-writing signature, this paper proposes a key generation method using on-line handwritten signature, which is based on the method of equal probability mass quantization. It utilizes the user-dependent fisher ratio criterion to get the user characteristics, which are the most representative of the user, and applies the thought of equal probability mass in the static bit allocation method based on likelihood ratio, but the quantitative probability mass of the registered sample is determined by the characteristic interval control coefficient, which improves the time performance of the registration phase. Factoring in time like definite integral in the computation of the quantitative probability mass, this paper raises an optimization strategy which replaces the definite integral with the trapezoidal area of curved section. The identity authentication experiment and the time complexity contrast experiment are carried out on the SVC2004. Results show that the method gains False Acceptance Rate（FAR） of 2.54% and False Rejection Rate（FRR） of 28.63% . The registration time of the trapezoidal improvement is 9 s,which is about 1/10 of the original Gauss integral method.
关键词	生物密码在线手写签名身份认证用户依赖梯形改进
收录类别	CSCD
语种	中文
CSCD记录号	CSCD:5826052
引用统计
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/62550
专题	中国科学院合肥物质科学研究院
推荐引用方式 GB/T 7714	. 基于在线手写签名的密钥生成方法[J]. 计算机工程,2016,042.
APA	(2016).基于在线手写签名的密钥生成方法.计算机工程,042.
MLA	"基于在线手写签名的密钥生成方法".计算机工程 042(2016).