摘要
针对现有指纹模板生成算法存在的准确性较低、安全性较差的问题,提出一种基于自适应投影的指纹模板生成算法。该算法将有效细节点对之间的距离垂直投影到自适应圆上,并对投影后的向量进行量化得到比特串。此外,为增强数据的安全性及隐私性,采用异或和随机索引置乱变换对比特串进行处理,最终生成指纹模板。在数据库FVC2002 DB1和DB2中的实验结果表明,该算法相较于对比算法,具有较高的准确性和安全性。
Aiming at the problems of low accuracy and poor security in existing fingerprint template generation algorithms,this paper proposed a fingerprint template generation algorithm based on adaptive projection.The algorithm vertically projected the distance between the pairs of effective minutiae points onto the adaptive circle and quantized the projected vector to obtain a bit string.In addition,in order to enhance the security and privacy of the data,the proposed algorithm performed XOR and random index scrambling transformation on the bit string to finally generated a fingerprint template.The experimental results in the database FVC2002 DB1 and DB2 show that the proposed algorithm has higher performance of accuracy and security than the related algorithms.
作者
党力
张雪锋
赵强
Dang Li;Zhang Xuefeng;Zhao Qiang(School of Cyberspace Security,Xi’an University of Posts&Telecommunications,Xi’an 710121,China)
出处
《计算机应用研究》
CSCD
北大核心
2020年第10期3091-3095,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(61301091)
陕西省自然科学基础研究计划青年项目(2017JQ6010)。
关键词
指纹模板
自适应投影
异或
置乱
fingerprint template
adaptive projection
XOR
scrambling