多指非触控指纹识别系统:移动指纹照片与传统数据库的互操作性

Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2017-11-12 DOI:10.1145/3168776.3168800

Lewis A. Carney, Josiah Kane, Jonathan F. Mather, Asem A. Othman, A. G. Simpson, Aryana Tavanai, Richard A. Tyson, Yiqun Xue

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引用次数: 9

摘要

我们开发了一种多指无触控指纹识别系统，可以部署在大多数智能手机上，只需后置摄像头和LED闪光灯即可捕获指纹。这些打印可与传统的基于触摸的打印数据库互操作。这使得指纹识别可以作为一种软件解决方案推广到一般人群。该系统具有自动图像捕获系统，我们自动检测每个手指并增强每个手指对应的图像，使其类似于基于触摸的打印。从开始到结束捕获时间大约为6秒，有利的部署占用小于10MB。在1400个非接触式指纹和6600个基于触摸的指纹的初始测试数据库上，我们实现了98.6%的非接触式指纹匹配率和0.0%的误接受率。

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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A Multi-Finger Touchless Fingerprinting System: Mobile Fingerphoto and Legacy Database Interoperability

We have developed a Multi-Finger Touchless fingerprinting system that can be deployed on most smartphones, capturing prints with only the rear camera and the LED flash. These prints are interoperable with conventional touch-based print databases. This allows fingerprint identification to be rolled out to the general population as a software only solution. This system features an automatic image capture system where we automatically detect each finger and enhance each finger's corresponding image to resemble a touch-based print. From start to finish the capture time is approximately 6 seconds with a favourable deployment footprint of under 10MB. On an initial test database of 1400 touchless fingerprints and 6600 touch-based fingerprints, we achieved a touchless-touch match rate of 98.6% with a 0.0% false accept rate.

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Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering

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