A Finger Vein Identification Method Based on Template Matching

5th International Conference on Advances in Optoelectronics and Micro/Nano-optics

Zou, Hui^1 ; Zhang, Bing^1 ; Tao, Zhigang^1 ; Wang, Xiaoping^1

State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China^1

关键词: Finger vein;    Finger vein identifications;    Quality factors;    Quality requirements;    Recognition accuracy;    Template generation;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/680/1/012001/pdf
DOI  :  10.1088/1742-6596/680/1/012001

来源: IOP

【 摘 要 】

New methods for extracting vein features from finger vein image and generating templates for matching are proposed. In the algorithm for generating templates, we proposed a parameter-templates quality factor (TQF)-to measure the quality of generated templates. So that we can use fewer finger vein samples to generate templates that meet the quality requirement of identification. The recognition accuracy of using proposed methods of finger vein feature extraction and template generation strategy for identification is 97.14%.