Orientation Field Code Hashing:A Novel Method for Fast Palmprint Identification

作     者：Xi Chen Ming Yu Feng Yue Bin Li Xi Chen;Ming Yu;Feng Yue;Bin Li

作者机构：the School of Electronic and Information EngineeringHebei University of Technology(HEBUT)Tianjin 300401 Beijing Institute of New Technology ApplicationsBeijing Academy of Sciences and TechnologyBeijing 100035China the School of Articial IntelligenceHebei University of Technology(HEBUT)Beijing 100035China 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2021年第8卷第5期

页      面：1038-1051页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported in part by the National Natural Science Foundation of China(61806071) the Natural Science Foundation of Hebei Province(F2019202464,F2019202381) the Open Project Program of the National Laboratory of Pattern Recognition(NLPR)of China(201900043) Hebei Provincial Education Department Youth Foundation(QN2019207) the Technical Expert Project of Tianjin(19JCTPJC55800,19JCTPJC57000) 

主　　题：Biometric system hashing orientation feature palmprint identification 

摘      要：For a large-scale palmprint identification system,it is necessary to speed up the identification process to reduce the response time and also to have a high rate of identification *** this paper,we propose a novel hashing-based technique called orientation field code hashing for fast palmprint *** investigating hashing-based algorithms,we first propose a double-orientation encoding method to eliminate the instability of orientation codes and make the orientation codes more ***,we propose a window-based feature measurement for rapid searching of the *** explore the influence of parameters related to hashing-based palmprint *** have carried out a number of experiments on the Hong Kong Poly U large-scale database and the CASIA palmprint database plus a synthetic *** results show that on the Hong Kong Poly U large-scale database,the proposed method is about 1.5 times faster than the state-of-the-art ones,while achieves the comparable identification *** the CASIA database plus the synthetic database,the proposed method also achieves a better performance on identification speed.