CASIA OpenIR  > 中国科学院分子影像重点实验室
A Cross-device Matching Fingerprint Database from Multi-type Sensors
Jia, Xiaofei; Yang, Xin; Zang, Yali; Zhang, Ning; Tian, Jie
2012
会议名称2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012)
会议录名称International Conference on Pattern Recognition (ICPR)
页码3001-3004
会议日期2012
会议地点Tsukuba, Ibaraki, Japan
摘要Databases play an important role in evaluating the performance of fingerprint identification algorithms. But which can be used to test the interoperability? That is to say, few of databases can test the performance of an algorithm on images acquired by different sensors. In order to solve the problem, we create the FingerPass cross-device matching fingerprint database which consists of almost 80 thousand fingerprint images from 90 subjects on nine different fingerprint sensors. We take both technology type and interaction type into consideration when choosing the sensors, totally different from other databases. It can test the interoperability of an algorithm at both the sensor level and the sensor type level. So we can use the FingerPass to test the performance of a cross-device matching algorithm for sensors of a specific type or different types . We apply the VeriFinger fingerprint recognition algorithm on it, and the experimental results indicate that the FingerPass crossdevice matching database is a challenge for fingerprint algorithms.
关键词Fingerprint Identification Image Matching Image Sensors Visual Databases
收录类别CPCI-T
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/5474
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
推荐引用方式
GB/T 7714
Jia, Xiaofei,Yang, Xin,Zang, Yali,et al. A Cross-device Matching Fingerprint Database from Multi-type Sensors[C],2012:3001-3004.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2145.pdf(334KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jia, Xiaofei]的文章
[Yang, Xin]的文章
[Zang, Yali]的文章
百度学术
百度学术中相似的文章
[Jia, Xiaofei]的文章
[Yang, Xin]的文章
[Zang, Yali]的文章
必应学术
必应学术中相似的文章
[Jia, Xiaofei]的文章
[Yang, Xin]的文章
[Zang, Yali]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 2145.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。