Fingerprint Validation and Outlier Detection Using Minutiae Approach in Network Security
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2012 by IJCOT Journal | ||
| Volume-2 Issue-5 |
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| Year of Publication : 2012 | ||
| Authors : Prathima Devi Sirivella, Mrs D.Raaga Vamsi |
Citation
Prathima Devi Sirivella, Mrs D.Raaga Vamsi "Fingerprint Validation and Outlier Detection Using Minutiae Approach in Network Security". International Journal of Computer & organization Trends (IJCOT), V2(5):12-17 Sep - Oct 2012, ISSN 2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
In this recent information technology biometric techniques are being used increasingly against identity theft. The basic need of biometric applications provides a measurable physical characterstics is a more reliable indicator of identity than legacy systems such as PASSWORDS and PINS.The necessity for security in fields such as improving airport security,strengthening the national borders, in travel documents,in preventing ID theft has brought the need to develop an able and efficient method for correct classification of personal authentication ,many countries begin to issue Edriving License and Epassports containing biometric data for their citizens. Biometric template recognition is the challenging problem in the real world applications.This project deals with the fingerprint classification and recognition systems. which consists of extracting and matching of minutiae from the input image. In this project a new statistical ecc method is provided for finger print biometric applications. User authentication is verified based on the elliptical curve that is generated for each finger print image that are stored in the database. This approach gives better results in realtime applications from database type of attacks. .
References
[1] Fingerprint Identification: An Aid to the Authentication Process: By Rodger Jamieson, Ph.D., CA, Greg Stephens and Santhosh Kumar:
[2] http://fingerprints/What_are_the_advantages_of_fin gerprint_recognition_files.html
[3] Fingerprint Identification and Verification System using Minutiae Matching: F.A. Afsar, M. Arif and M. Hussain.
[4] Technology Review:Image Enhancement, Feature Extraction and Template Protection of a Fingerprint Authentication System: Md Rajibul Islam , Md. Shohel Sayeed and Andrews Samraj.
[5] Automated Fingerprint Recognition : Using Minutiae Matching Technique For The Large Fingerprint Database: S M Mohsen, S M Zamshed Farhan and M M A Hashem
[6] Reducing Process-Time for Fingerprint Identification System: Chander Kant Lecturer, Department of Computer Science andapplications K.U.Kurukshetra, Haryana (INDIA), Rajender Nath Reader, Department of Computer Science andapplications K.U.Kurukshetra, Haryana (INDIA).
[7] A Matching Algorithm of Minutiae for RealTime Fingerprint Identification System: Shahram Mohammadi, Ali Frajzadeh.