NDLI: Palmprint recognition using a modified competitive code with distinctive extended neighbourhood

Content Provider	IET Digital Library
Author	Zhao, Weiqiang Pang, Liaojun Xiao, Kai Wang, Hua Cao, Zhicheng Zhao, Heng
Abstract	In recent years, palmprint recognition has made great progress and many methods have been put forward. The extraction of robust orientation features and finding efficient matching strategies are two key points for palmprint recognition. Traditional coding methods usually only use a dominant filter response to extract orientation features of palmprint images while not taking into account the other useful filter responses. Without increasing the number of filers, this study presents a modified Competitive Code to extract orientation features more accurately, which makes use of the relation between the filter responses. Besides, a distinctive extended eight-pixel neighbourhood method is proposed to select the sample points for matching by extracting the local features. At the matching stage, an effective fusion matching scheme with a double-layer image pyramid is designed to calculate the similarity between two palmprint images. Extensive experiments on four types of public palmprint databases show that the proposed method has excellent performance compared with the other state-of-the-art algorithms.
Starting Page	1151
Ending Page	1162
Page Count	12
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 8, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2018.5306
Journal	IET Computer Vision
Publisher Date	2018-07-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Distinctive Extended Eight-pixel Neighbourhood Method Double-layer Image Pyramid Effective Fusion Matching Scheme Feature Extraction Filter Responses Filtering Method in Signal Processing Filtering Theory Finding Efficient Matching Strategy Image And Video Coding Image Coding Image Fusion Image Matching Image Recognition Local Feature Extraction Modified Competitive Code Palmprint Image Palmprint Recognition Public Palmprint Database Robust Orientation Feature Extraction Sensor Fusion Similarity Calculation
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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