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Orientation Field Code Hashing:A Novel Method for Fast palmprint identification

IEEE/CAA Journal of Automatica Sinica 2021年第5期8卷 1038-1051页

作者： Xi Chen Ming Yu Feng Yue Bin Li the School of Electronic and Information Engineering Hebei University of Technology(HEBUT)Tianjin 300401 Beijing Institute of New Technology Applications Beijing Academy of Sciences and TechnologyBeijing 100035China the School of Articial Intelligence Hebei University of Technology(HEBUT)Beijing 100035China

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.

关键词： Biometric system hashing orientation feature palmprint identification

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Online palmprint identification System for Civil Applications

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Journal of Computer Science & Technology 2005年第1期20卷 70-76页

作者： DavidZhang Guang-MingLu AdamsWai-KinKong MichaelWong BiometricsResearchCentre DepartmentofComputingTheHongKongPolytechnicUniversityKowloonHongKongSpecialAdministrativeRegionP.R.China BiocomputingResearchLab SchoolofComputerScienceandEngineeringHarbinInstituteofTechnologyHarbin150001P.R.China DepartmentofSystemsDesignEngineering UniversityofWaterlooOntarioN2L3G1Canada

In this paper, a novel biometric identification system is presented toidentify a person''s identity by his/her palmprint. In contrast to existing palmprint systems forcriminal applications, the proposed system targets at the civil applications, which requireidentifying a person in a large database with high accuracy in real-time. The system is constitutedby four major components: User Interface Module, Acquisition Module, Recognition Module and ExternalModule. More than 7,000 palmprint images have been collected to test the performance of the *** system can identify 400 palms with a low false acceptance rate, 0.02%, and a high genuineacceptance rate, 98.83%. For verification, the system can operate at a false acceptance rate, 0.017%and a false rejection rate, 0.86%. The execution time for the whole process including imagecollection, preprocessing, feature extraction and matching is less than 1 second.

关键词： palmprint identification biometrics personal authentication

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Accelerated POP Hashing for Fast palmprint identification on Large-scale Databases 36

Accelerated POP Hashing for Fast Palmprint Identification on...

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第36届中国控制会议

作者： Feng Yue Haolun Ding Bin Li Xi Chen Beijing Institute of New Technology Applications Beijing Academy of Sciences and Technology School of Information Hebei University of Technology

ISBN: (纸本)9781538629185

A typical palmprint identification system identifies a query palmprint by matching it with the templates in the database and comparing the result with the pre-defined similarity *** applied on large-scale databases,it is often necessary to speed up this *** study shows that POP hashing is very effective for fast and accurate palmprint *** state-of-the-art approach,its speedup is around 15 to 20 on databases with 10,000 to 100,000 *** this paper,we investigate the POP hashing algorithm in more depth,and propose to accelerate it by improved pre-processing approach,*** the hash table using more consistent orientation *** results on several real and synthetic databases show that the proposed method can accelerate POP hashing up to 50%5%,with negligible accuracy ***,the space requirement of the hash table is reduced by a factor of 2,making it more appealing for practical applications.

关键词： palmprint identification POP Hashing Hash Table Principal Orientation Feature Principal Orientation Pattern

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MODELING INTRAPERSONAL DEFORMATION SUBSPACE USING GMM FOR palmprint identification

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Journal of Electronics(China) 2006年第4期23卷 543-548页

作者： Li Qiang Qiu Zhengding Sun Dongmei Institute of Information Science Beijing Jiaotong University Beijing 100044 China

In this paper, an efficient model of palmprint identification is presented based on subspace density estimation using Gaussian Mixture Model (GMM). While a few training samples are available for each person, we use intrapersonal palmprint deformations to train the global GMM instead of modeling GMMs for every class. To reduce the dimension of such variations while preserving density function of sample space, Principle Component Analysis (PCA) is used to find the principle differences and form the Intrapersonal Deformation Subspace (IDS). After training GMM using Expectation Maximization (EM) algorithm in IDS, a maximum likelihood strategy is carried out to identify a person. Experimental results demonstrate the advantage of our method compared with traditional PCA method and single Gaussian strategy.

关键词： palmprint identification Density estimation Gaussian Mixture Model (GMM) Principle Component Analysis (PCA) Intrapersonal Deformation Subspace (IDS)

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A New Method to Locate the Region of Interest( ROI) of palmprint

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Journal of Harbin Institute of Technology(New Series) 2013年第2期20卷 111-117页

作者： Ping Xue Wen-Chao Li Tian-Yu Liu College of Automation Harbin University of Science and Technology

Biometric identification was a kind of identity recognition technology by making use of the human's unique physiological or behavioral characteristics,it provided a high reliability and stability way for the identification. Global threshold binarization palmprint image is used in this paper,and the bio-morphological methods are used to get the sensitive area of palmprint image's positioning point,so as to extract the region of interest. The palmprint collection is realized on the FPGA chip,and this kind of collection method uses the DSP Builder toolbox to realize visual programming in Matlab / Simulink and achieve fast modeling and development. The practice proves that this method is simple,flexible and its equipment is portable and fast.

关键词： DSP builder FPGA palmprint identification region of interest( ROI)

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