Vectorized fingerprint representation using Minutiae Relation Code

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI:10.1109/ICB.2015.7139103

N. Abe, Takashi Shinzaki

引用次数: 12

Abstract

Minutiae-based vector representation algorithms have been proposed, which allow us not only to speed up matching tasks, but also to easily apply for various template protection techniques, such as Fuzzy Vault, Fuzzy Commitment, and BioHashing. In this paper, we propose a new vectorized fingerprint descriptor called Minutiae Relation Code(MRC), which consists of a set of vector-represented minutiae relation information between arbitrary minutiae. We also evaluate authentication performances using FVC2002 Database(DB1, DB2, DB3, DB4) and we show 0.82% Equal Error Rate(EER) in DB1, 0.82% in DB2, 2.71% in DB3, and 1.49% in DB4.

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基于细节关系码的指纹矢量化表示

已经提出了基于细节的向量表示算法，它不仅可以加快匹配任务，而且可以很容易地应用各种模板保护技术，如模糊保险库、模糊承诺和生物哈希。本文提出了一种新的矢量化指纹描述符，称为细节关系码(MRC)，它由任意细节之间的一组向量表示的细节关系信息组成。我们还使用FVC2002数据库(DB1、DB2、DB3、DB4)对身份验证性能进行了评估，结果显示，DB1的等错误率(EER)为0.82%，DB2为0.82%，DB3为2.71%，DB4为1.49%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 International Conference on Biometrics (ICB)

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