嵌入式手指多模态特征同步采集系统设计

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嵌入式手指多模态特征同步采集系统设计

杨金锋，孟凡胜，史玉坤，马永斌

（taptap下载安装安卓天津市智能信号与图像处理重点实验室，天津300300）

收稿日期:2014-12-25 修回日期:2015-01-14 出版日期:2016-02-20 发布日期:2016-04-13
作者简介:杨金锋（1971—），男，河南淮阳人，教授，工学博士，研究方向为图像处理、生物识别、计算机视觉.
基金资助:
国家自然科学基金项目（61379102，U143310158）

Embedded imaging system for multimodal finger feature acquisition

YANG Jinfeng,MENG Fansheng,SHI Yukun,MA Yongbin

(Intelligent Signal and Image Processing Key Lab of Tianjin,CAUC,Tianjin 300300,China)

Received:2014-12-25 Revised:2015-01-14 Online:2016-02-20 Published:2016-04-13

摘要/Abstract

摘要：

嵌入式手指多模态特征采集系统对研究基于手指的身份鉴别技术具有重要意义，主要体现在两个方面：一是为理论研究提供可靠的数据，二是为开发实际的身份识别设备奠定技术基础。在前期工作中，已实现了Windows CE 下的手指静脉采集系统，但由于Windows CE 对高性能硬件系统缺乏完善支持，导致现有单模态系统无法实现功能扩展。面对手指多模态特征采集的实际问题，利用Linux 系统开发了嵌入式成像平台，实现了二路视频和一个USB 指纹模块的实时成像，从而顺利完成了对手指静脉、指节纹、指纹3 个模态的同步采集任务。大量实验结果表明，该采集系统性能稳定可靠，且成像质量能满足理论研究的需求。

关键词: 手指多模态识别, 静脉图像采集, 嵌入式Linux, 多线程, 多模同步采集

Abstract:

Designing a reliable embedded image acquisition system is very important for finger-based biometrics since it can provide reliable multimodal finger image data for finger-based recognition theory research besides making a technical foundation for real identification system development. In previous work,an embedded device with Windows CE operation for finger-vein image acquisition. However,it can not be extended since Windows CE is incapable of supporting hardware with multiple tasks. To deal with the problem faced in multimodal imaging,a Linux -based embedded system is developed,which can reliably and synchronously output three image modalities:finger-vein,fingerprint and knuckle print in real-time. Lots of experimental results show that the proposed embedded imaging system is stable and reliable in multimodal finger image acquisition,and the imaging quality can meet the demand of theory research.

Key words: multimodal finger recognition, finger -vein image acquisition, embedded Linux, multi threads, multimodal synchronous acquisition

中图分类号:

TP391.41

杨金锋，孟凡胜，史玉坤，马永斌. 嵌入式手指多模态特征同步采集系统设计[J]. taptap下载安装安卓学报.

YANG Jinfeng,MENG Fansheng,SHI Yukun,MA Yongbin. Embedded imaging system for multimodal finger feature acquisition[J]. .