Feature Selection for Sensor Interoperability: A Case Study in Fingerprint Segmentation

被引：5

作者：

Ren, Chunxiao ^{[1
]}

Yin, Yilong ^{[1
]}

Ma, Jun ^{[1
]}

Yang, Gongping ^{[1
]}

机构：

[1] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年

关键词：

sensor interoperability; feature selection; fingerprint; segmentation; VERIFICATION;

D O I：

10.1109/ICSMC.2009.5346037

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The need for sensor interoperability has increased tremendously in many fingerprint large-scale application areas such as e-commerce, welfare-disbursement and e-education. However, the problem of feature selection for sensor interoperability has received limited attention in the literature. In this paper, the relationships among person, sensor and feature are discussed. Especially, a feature selection method for sensor interoperability is proposed. Some experimental results of feature selection for sensor interoperability in fingerprint segmentation are presented as a case study. Experiments show that the various features exhibit different sensor interoperability on different sensors.

引用

页码：5057 / 5062

页数：6

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