计算机应用 ›› 2012, Vol. 32 ›› Issue (11): 3193-3197.DOI: 10.3724/SP.J.1087.2012.03193

• 图形图像处理 • 上一篇    下一篇

对抗图像旋转的手指静脉身份识别新算法的设计

汤露,彭双平   

  1. 中国船舶重工集团公司 第七一〇研究所,湖北 宜昌 443003
  • 收稿日期:2012-05-13 修回日期:2012-07-12 发布日期:2012-11-12 出版日期:2012-11-01
  • 通讯作者: 汤露
  • 作者简介:汤露(1986-),男,湖北潜江人,硕士研究生,主要研究方向:手指静脉身份识别、FPGA技术;彭双平(1985-),男,湖北荆州人,电子工程师,硕士,主要研究方向:嵌入式系统

New design of finger-vein identification algorithm against image rotation

TANG Lu,PENG Shuang-ping   

  1. No.710 Research and Development Institute, China Shipbuilding Industry Corporation, Yichang Hubei 443003, China
  • Received:2012-05-13 Revised:2012-07-12 Online:2012-11-12 Published:2012-11-01
  • Contact: TANG Lu

摘要: 为了克服图像旋转对手指静脉身份识别系统正确率的影响,在图像预处理部分提出一种基于手指指尖点的旋转定位方法,改进了基于方向模板和局部动态阈值分割提取静脉特征的方法并用改进Hausdorff距离(MHD)距离进行匹配验证。实验结果表明,同一根手指的图片在平面偏移角度小于20°时,可以达到0.75%的等误率,正确识别率达97.25%,而且整个处理过程在VC++6.0上面执行耗时仅为161.6949ms,系统具有很好的实时性能,对实际手指静脉身份识别产品的开发具有一定的现实意义。

关键词: 手指静脉, 生物特征身份识别, 旋转校正, 指尖定位, 特征提取

Abstract: In order to overcome the impacts of image rotation on the accuracy of the finger-vein identification system, in the image pre-processing module, a new rotation approach based on the fingertip position to correct the target region was presented in this paper. The other part of the proposed system consists of an improved feature extraction module using direction templates and local dynamic threshold segmentation and a classification module using a Modified Hausdorff Distance (MHD). The experimental results show that it achieves a high recognition rate of 97.25%, and the Equal Error Rate (EER) is 0.75% when the drift angle among the images of the same finger is less than 20 degrees. What is more, the whole process took only 161.6949ms in VC〖KG-*3〗+〖KG-*3〗+6.0, which meant that the system had a superior real-time performance. The proposed system also has certain practical significance for developing finger-vein identification products.

Key words: finger-vein, biometric identification, rotation correction, fingertip location, feature extraction

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