中国民航大学学报

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嵌入式手指静脉识别系统设计

苏志刚, 马永斌,杨金锋   

  1. (中国民航大学天津市智能信号与图像处理重点实验室,天津300300)
  • 收稿日期:2016-06-14 修回日期:2016-08-31 出版日期:2017-04-22 发布日期:2017-06-14
  • 作者简介:苏志刚(1972—),男,黑龙江尚志人,教授,博士,研究方向为信号与信息处理、谱估计等.
  • 基金资助:

    国家自然科学基金项目(61379102,U1433120)

Design of embedded finger vein recognition system

SU Zhigang, MA Yongbin, YANG Jinfeng   

  1. (Intelligent Signal and Image Processing Key Lab of Tianjin, CAUC, Tianjin 300300, China)
  • Received:2016-06-14 Revised:2016-08-31 Online:2017-04-22 Published:2017-06-14

摘要:

研究嵌入式手指静脉识别系统有利于手指静脉识别设备应用推广。设计并实现一种基于嵌入式Linux 平台的手指静脉识别系统,并详细讨论了系统硬件平台的搭建和软件开发。主要贡献如下:①优化系统结构;②嵌入手指静脉图像预处理、特征提取与识别等核心算法;③实现系统动态注册功能;④改进传统的特征数
据存储模式,采用新的嵌入式数据库技术。实验结果表明该系统性能稳定可靠、识别效率更高。

 

关键词: 嵌入式系统, 手指静脉识别算法, 嵌入式数据库技术

Abstract:

The research of embedded finger-vein recognition system is beneficial to the application and popularization of finger-vein recognition device. A finger-vein recognition system based on embedded Linux platform is designed and implemented, the construction of system hardware platform and the software development are discussed in details. The main contributions are as follows: a. the system structure is optimized; b. finger-vein image preprocessing, feature extraction and recognition algorithm are embedded in the system; c. system dynamic register function is realized; d. the traditional feature data storage mode is improved, and the new embedded database technology is adopted. Experimental results show that the system is stable and reliable, and has a higher recognition efficiency.

Key words: embedded system, finger-vein recognition algorithm, embedded database technology

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