江西理工大学电气工程与自动化学院
纸质出版:2023
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黄艳国, 杨训根, 周满国. 基于感兴趣区域的改进型LBP手指静脉识别[J]. 传感器与微系统, 2023,(4):143-147.
黄艳国, 杨训根, 周满国. 基于感兴趣区域的改进型LBP手指静脉识别[J]. 传感器与微系统, 2023,(4):143-147. DOI: 10.13873/J.1000-9787(2023)04-0143-05.
为进一步提升手指静脉识别算法的识别率,在图像预处理阶段提出一种快速感兴趣区域(RoI)提取方法,简化候选区域提取的计算过程,缩短手指区域提取时间。识别特征则是在局部二值模式(LBP)的基础上,利用邻域像素的平均值代替中心值,通过邻域像素的关系引入,提升了图像的纹理表达效果。在SDUMLA数据库与天津市智能实验室采集指静脉图像数据库上,分别取得了99.53%
99.74%的识别率,表明了算法优良的识别性能与泛化能力。
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