Comparative Test of Smartphone Finger Photo vs. Touch-based Cross-sensor Fingerprint Recognition
Comparative Test of Smartphone Finger Photo vs. Touch-based Cross-sensor Fingerprint Recognition
复制标题
智能手机指纹照片与触摸式交叉传感器指纹识别的对比测试
DOI：
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复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
G. F. Domínguez
中科院分区：
文献类型：
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作者：
Peter Wild;Franz Daubner;H. Penz;G. F. Domínguez
当今的智能手机摄像机可实现无触摸的生物识别指纹捕获。通过智能手机和另一个指纹扫描仪，收集了来自108个用户的4310指纹图像的多传感器数据库。使用NFIQ 2.0的最新质量估算，供应商特定的质量指标完成了有关手指识别的专业能力的研究。对于无触摸式比较的错误率达到1％EER。
Today’s smart-phone cameras enable touch-less biometric fingerprint capture for practical use. This is inexpensive, comfortable and now fast enough for practical use. This paper deals with the question of how reliably two fingerprints can be compared, when one of them is captured by a smart-phone and the other by a dedicated fingerprint scanner. A multisensor database with 4310 fingerprint images from 108 users was collected. Three touch-based sensors and two touch-less finger photo sensors were used. Latest quality estimations using NFIQ 2.0 and vendor-specific quality metrics complete the study on professional capabilities of finger photo recognition. As side-result of the study, a new touch-less fingerprint processing chain is presented, which reduces the error rates to 1% EER for touch-less- to-touch comparison. This value is comparable to that for touch-to-touch applications.