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Reseach Article

Palm Print Recognition using Steerable Filter for Better Authentication System

by Neha Dangi, Atul Barve
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 15
Year of Publication: 2018
Authors: Neha Dangi, Atul Barve
10.5120/ijca2018917796

Neha Dangi, Atul Barve . Palm Print Recognition using Steerable Filter for Better Authentication System. International Journal of Computer Applications. 182, 15 ( Sep 2018), 14-18. DOI=10.5120/ijca2018917796

@article{ 10.5120/ijca2018917796,
author = { Neha Dangi, Atul Barve },
title = { Palm Print Recognition using Steerable Filter for Better Authentication System },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2018 },
volume = { 182 },
number = { 15 },
month = { Sep },
year = { 2018 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number15/29938-2018917796/ },
doi = { 10.5120/ijca2018917796 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:11:29.391598+05:30
%A Neha Dangi
%A Atul Barve
%T Palm Print Recognition using Steerable Filter for Better Authentication System
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 15
%P 14-18
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Every person has a unique palm print and by extracting the features from it; can build an authentication system likely fingerprint authentication. The proposed system is able to extract the ridge patterns present in the palm and compare it to the template stored in the data base and according to the matching key points it will authenticate a person. The acceptance rate of proposed palm prints authentication system is higher and also has high significant usability in the biometric identification technique. Some statistical properties will be compute which are necessary for the identification of an individual through the proposed system. The system uses some exceptional information from palm prints like principal lines, wrinkles, and textures while process of authentication carried out. Proposed methodology in the system tries to eliminate the probable deception that can’t be evaded by the existing methods which uses identity cards and passwords. Proposed system offers high accuracy with null fraudulent for the identification purpose and can be widely used in many applications where authentication is the major part of processing the system.

References
  1. Anil Singh Parihar1, Amoiy Kumar2, Om Prakash Verma3, Ankita Gupta4, Prerana Mukherjee5 , and Deepika Vatsa6 “Point Based Features for Contact-less Palmprint Images”, IEEE Transaction, 2013.
  2. Allen George, G.Karthick, Dr.R.Harikumar, “An Efficient System for Palm Print Recognition using Ridges”, IEEE Transaction, 2014.
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  4. Gaurav Jaswal, Ravinder Nath, Amit Kaul, “Texture based Palm Print Recognition using 2-D Gabor Filter and Sub Space Approaches”, IEEE Transaction, 2015.
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  9. http://academyofhandanalysis.org/tag/hand-printing/page/3/
Index Terms

Computer Science
Information Sciences

Keywords

Palm Print Authentication Palm Crease Gabor Filter Biometric.