Synchronous acquiring system design of multimodal finger image#br#

Abstract

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

CLC Number:

TP391

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.

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