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Embedded imaging system for multimodal finger feature acquisition

YANG Jinfeng,MENG Fansheng,SHI Yukun,MA Yongbin   

  1. (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

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

CLC Number: