NDLI: Hierarchical palmprint feature extraction and recognition based on multi-wavelets and complex network

Content Provider	IET Digital Library
Author	Zhou, Lijian Zhang, Chen Wang, Zuowei Wang, Ying Lu, Zhe Ming
Abstract	This study presents a hierarchical palmprint feature extraction and recognition approach based on multi-wavelet and complex network (CN) since they can effectively decrease redundant information and enhance key points of main lines and wrinkles. The palmprint is first pre-filtered and decomposed once using multi-wavelet. Three components (LL1,2,3) corresponding to the pre-filter except for diagonal component are extracted as the elementary features. Second, binary images (BLL1,2,3) are obtained by the average window method using different thresholds. Third, three series of dynamic evolution CN models (the 1st, 2nd, 3rd CNs) are constructed from global to local, which is based on the mosaiced images obtained from BLL1,2,3, BLL1 and four equally divided sub-images of BLL1, respectively. Fourth, statistical features are extracted from complex networks, in which average degree and standard deviation of the degrees are extracted for the 1st CNs and average degrees are extracted for the 2nd and 3rd CNs. Fifth, the fisher feature is extracted using the linear discriminate analysis method. Finally, the nearest neighbourhood classifier is used to recognise palmprint. Based on the CASIA Palmprint Image Database, experimental results show that the proposed method can effectively recognise palmprint with good robustness and overcome the problem of small training samples number.
Starting Page	985
Ending Page	992
Page Count	8
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 6, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0520
Journal	IET Image Processing
Publisher Date	2018-01-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Average Window Method Binary Image (BLL1,2,3) CASIA Palmprint Image Database Complex Network Computer Vision And Image Processing Technique Diagonal Component Dynamic Evolution CN Model Elementary Feature Extraction Feature Extraction Filtering Method in Signal Processing Hierarchical Palmprint Feature Extraction Approach Hierarchical Palmprint Recognition Approach Image Classification Image Filtering Image Recognition Image Segmentation Integral Transforms Linear Discriminate Analysis Method Mosaiced Image Multiwavelet Transform Nearest Neighbourhood Classifier Method Palmprint Recognition Standard Deviation Statistical Analysis Statistical Feature Extraction Statistics Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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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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