自动化学报2012，Vol.38Issue(9)：1496-1502,7.DOI:10.3724/SP.J.1004.2012.01496
基于水平扩张毯子维的掌纹识别
A Palmprint Recognition Algorithm Based on Horizontally Expanded Blanket Dimension
摘要
Abstract
As an emerging biometric technology, palmprint recognition has been extensively researched. Due to mul-tiresolution characteristics of the blanket dimension (BD) and the directionality of palmprint texture, feature extraction efficiencies with blanket dimension, horizontally and vertically expanded blanket dimensions (HEBD and VEBD) are compared, and a palmprint recognition algorithm based on horizontally expanded blanket dimension is proposed according to the comparison results. The algorithm is evaluated on Hong Kong PolyU Palmprint Database V2.0. Experimental results show that the horizontally expanded blanket dimension can extract the features that well represent the palmprint, and a recognition rate of 99.9 % is achieved. The total execution time of recognition is less than 287 ms, which is fast enough for on-line palmprint recognition application.关键词
分形维数/毯子维/关掌纹识别/特征提取Key words
Fractal dimension,blanket dimension (BD), palmprint recognition, feature extraction引用本文复制引用
郭秀梅,周卫东,耿淑娟,王玉..基于水平扩张毯子维的掌纹识别[J].自动化学报,2012,38(9):1496-1502,7.基金项目
国家自然科学基金(30870666),山东省科技发展计划项目(2010GSF10243)资助 （30870666）
