Exploratory Analysis of an Operational Iris Recognition Dataset from a CBSA Border-Crossing Application

被引：0

作者：

Ortiz, Estefan ^{[1
]}

Bowyer, Kevin W. ^{[1
]}

机构：

[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA

来源：

2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an exploratory analysis of an iris recognition dataset from the NEXUS border-crossing program run by the Canadian Border Services Agency. The distribution of the normalized Hamming distance for successful border-crossing transactions is examined in the context of various properties of the operational scenario. The effects of properties such as match score censoring and truncation, same-sensor and cross-sensor matching, sequence-dependent matching, and multiple-kiosk matching are illustrated. Implications of these properties of the operational dataset for the study of iris template aging are discussed.

引用

页数：8

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