Fingerprint Validation and Outlier Detection Using Minutiae Approach in Network Security
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2012, Vol 2, Issue 5
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.
Authors and Affiliations
Prathima Devi Sirivella#1 , Mrs D. Raaga Vamsi#2
Keywords
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