A New Partitioning Method in Frequency Analysis of the Retinal Images for Human Identification

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Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
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"A New Partitioning Method in Frequency Analysis of the Retinal Images for Human Identification"
written by Masoud Sabaghi, S. Reza Hadianamrei, Ali Zahedi, Maziyar Niyakan Lahiji,
published by Journal of Signal and Information Processing, Vol.2 No.4, 2011

has been cited by the following article(s):

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[1]	Human retina based identification system using gabor filters and gda technique
	2020

[2]	Automatic Human Recognition Based on the Geometry of Retinal Blood Vessels Network
	Current Research in Science and Technology, 2019

[3]	RETINA BASED BIOMETRIC AUTHENTICATION SYSTEM: A REVIEW.
	2018

[4]	RETINA BASED BIOMETRIC AUTHENTICATION SYSTEM: A REVIEW
	International Journal of Advanced Research in Computer Science, 2018

[5]	Biometric authentication system based on texture features of retinal images
	International Journal of Biometrics, 2018

[6]	Fast and Accurate Retinal Identification System: Using Retinal Blood Vasculature Landmarks
	2018

[7]	FUZZY LOGIC BASED OPTICAL DISC LOCALIZATION AND DETECTION OFSTEREOSCOPIC RETINAL IMAGES IN NROI
	INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY, 2017

[8]	Retina based biometric identification using SURF and ORB feature descriptors
	2017

[9]	A New Approach for Automatic Human Recognition Based on Retinal Blood Vessels Analysis
	British Journal of Applied Science & Technology, 2016

[10]	Biometric authentication system using retinal vessel pattern and geometric hashing
	IET Biometrics, 2016

[11]	Sweat Pore Mapping Using Hydrophilic Polymer Films
	Journal of Nanoscience and Nanotechnology, 2016

[12]	Review of Multimodal Biometric (Face & Iris Recognition)
	Advances in Computational Research, 2015

[13]	AUTOMATED RETINA IDENTIFICATION BASED ON MULTISCALE ELASTIC REGISTRATION
	2014

[14]	Retinal identification based on an improved circular Gabor filter and scale invariant feature transform
	Sensors, 2013

[15]	Biometric security application for person authentication using retinal vessel feature
	2013

[1]	Fast and Accurate Retinal Identification System: Using Retinal Blood Vasculature Landmarks IEEE Transactions on Industrial Informatics, 2019 DOI:10.1109/TII.2018.2881343

[2]	Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform Sensors, 2013 DOI:10.3390/s130709248

[3]	Biometric Security Application for Person Authentication Using Retinal Vessel Feature 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013 DOI:10.1109/DICTA.2013.6691489

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