NDLI: Palmprint verification and identification using pyramidal HOG feature and fast tree based matching

Content Provider	IEEE Xplore Digital Library
Author	Ghandehari, A. Anvaripour, M. Soltanpour, S.
Copyright Year	2012
Description	Author affiliation: Department of Engineering and Technology, Saveh Branch, Islamic Azad, University, Saveh, Iran (Ghandehari, A.) \|\| Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology of Tabriz, Iran (Anvaripour, M.; Soltanpour, S.)
Abstract	In this paper, a palmprint identification and verification approach based on Pyramidal Histograms of Oriented Gradients (PHOG) and fast tree based matching is presented. In the feature extraction stage, proposed local histograms of oriented gradient are extracted in each level or scale of the Gaussian pyramid of the palmprint. This matter helps to extract high contrast and reliable lines. In the identification stage, features of the query palmprint are extracted and identified by matching against the training database palmprints or templates with tree based matching. The tree based matching makes verification and identification fast. The proposed method is evaluated by experiments on Hong Kong PolyU palmprint database. The experimental results show that the proposed method achieves a high performance according to identification and verification rate, over 99.85% accuracy, and high identification speed, which takes less than 2 seconds.
Starting Page	421
Ending Page	426
File Size	1102718
Page Count	6
File Format	PDF
ISBN	9781467303965
e-ISBN	9781467303972
DOI	10.1109/ICB.2012.6199787
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-29
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Biometrics Histograms Accuracy Databases Feature extraction Data mining
Content Type	Text
Resource Type	Article

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