在低功耗微控制器上演示指纹识别算法

2017 Conference on Design and Architectures for Signal and Image Processing (DASIP) Pub Date : 2017-09-01 DOI:10.1109/DASIP.2017.8122121

Javier Arcenegui, Rosario Arjona, I. Baturone

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引用次数: 3

摘要

本文开发了一种基于QFingerMap16特征的轻量级指纹识别算法，该特征是从指纹凸核为中心的方向图像窗口中提取的。该算法已在德州仪器(Texas Instruments) LaunchPad CC2650评估套件中的低功耗ARM Cortex-M3微控制器中实现。它还在Raspberry Pi 2中实现，以便在图形用户界面(GUI)的帮助下显示识别过程的连续步骤所获得的结果。该算法在功耗和识别精度之间进行了很好的权衡，适用于可穿戴设备的身份验证。

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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Demonstrator of a fingerprint recognition algorithm into a low-power microcontroller

A demonstrator has been developed to illustrate the performance of a lightweight fingerprint recognition algorithm based on the feature QFingerMap16, which is extracted from a window of the directional image centered at the convex core of the fingerprint. The algorithm has been implemented into a low-power ARM Cortex-M3 microcontroller included in a Texas Instruments LaunchPad CC2650 evaluation kit. It has been also implemented in a Raspberry Pi 2 so as to show the results obtained at the successive steps of the recognition process with the aid of a Graphical User Interface (GUI). The algorithm offers a good tradeoff between power consumption and recognition accuracy, being suitable for authentication on wearables.

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2017 Conference on Design and Architectures for Signal and Image Processing (DASIP)

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