手指多模态特征图像姿态同步采集系统设计#br#

taptap下载安装安卓学报 ›› 2020, Vol. 38 ›› Issue (1): 54-59.

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手指多模态特征图像姿态同步采集系统设计#br#

杨金锋，李常福

（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）

出版日期:2020-02-29 发布日期:2020-03-11
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（61379102，61502498，U1433120）；中央高校基本科研业务费专项（3122017001）

Synchronous acquiring system design of multimodal finger image#br#

YANG Jingfeng, LI Changfu#br#

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

Online:2020-02-29 Published:2020-03-11

摘要/Abstract

摘要： 在手指多模态融合识别中，实现指静脉尧指节纹和指纹三模态特征图像的姿态统一对提高识别性能十分重要。首先通过采用新的成像模式，在硬件上使手指多模态特征成像姿态趋于统一，然后通过计算手指姿态的方向角度，矫正手指的平面随机转动，在算法上减少手指成像的姿态变化，最后利用成像空间之间的映射关系，实现指静脉和指节纹感兴趣区域（ROI）之间的协调定位。实验结果表明，该手指多模态生物图像采集方案效果稳定，基本解决了手指多模态生物特征采集中存在姿态不一致的问题。

关键词: 生物识别, 多模态生物特征, 姿态同步, 系统设计

Abstract: In the fusion of multimodal finger identification, pose synchronization of three-modal finger images including finger vein, finger-knuckle-print and finger print is crucial for recognition performance improvement. Firstly, a new hardware imaging mode is adopted to make consistent imaging pose of multimodal finger traits. Secondly, random plane-rotation of finger pose is corrected through finger posture angle calculation to reduce finger imaging posture change using algorithm. Finally, ROI coordination of finger vein and finger-knuckle-print is conducted by image space mapping. Experimental results prove the stable performance of the proposed image acquisition
scheme, which basically resolves the finger pose variation.

Key words: biometric identification, multimodal finger feature, posture synchronization, system design

中图分类号:

TP391

杨金锋, 李常福. 手指多模态特征图像姿态同步采集系统设计#br#[J]. taptap下载安装安卓学报, 2020, 38(1): 54-59.

YANG Jingfeng, LI Changfu. Synchronous acquiring system design of multimodal finger image#br#[J]. Journal of Civil Aviation University of China, 2020, 38(1): 54-59.

参考文献 15

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手指多模态特征图像姿态同步采集系统设计#br#

Synchronous acquiring system design of multimodal finger image#br#

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