Fingerprint Identification Using Minutiae Matching
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 6
Abstract
In the modern computerized world, it has become more and more important to authenticate people in a secure way. Modern applications like online banking or online shopping use techniques that depend on personal identification numbers, keys, or passwords. Nevertheless, these technologies imply the risk of data being forgotten, lost, or even stolen. Therefore biometric authentication methods promise a unique way to be able to authenticate people. A secure and confidential biometric authentication method is the utilization of fingerprints. Usually a technique called minutiae matching is used to be able to handle automatic fingerprint recognition with a computer system.
Authors and Affiliations
S. Mousmi1 , Dr. T. Meyappan2 , M. Sc. , M. Phil, M. B. A, (M. Tech), Ph. D.
Keywords
Related Articles
- EP ID EP146400
- DOI -
- Views 125
- Downloads 0
Wavelet Based Multi-Scale Principal Component Analysis for Speech Enhancement
The goal of speech enhancement varies according to specific applications, such as to reduce listener fatigue, to boost the overall speech quality, to increase intelligibility, and to improve the performance of the...
A Nonlinear Controller for Photovoltaic Water Pumping System
The aim of this work is to suppy an energy for photovoltaic cell and that energy will go to the inverter and then went to induction motor to be operating certain speed then water pumb process achieved. Main target...
Universal Controller Design Using Arm Controller
In this paper, different control strategies are discussed and design of universal (process) controller on ARM embedded platform is proposed. The same controller support feedback, cascade, ratio and feed forward...
Brain Signals and Alcoholism
Electroencephalogram (EEG) is the recording of electrical activity through various electrode sensors placed on the scalp. The electrical signal is recorded as waves that can be classified as normal or abnormal. Dif...
Gender Recognition from Model’s Face Using SVM Algorithm
This paper presents a method for Gender Recognition using Support Vector Machine (SVM).This System consists of two stages – Feature Extraction and SVM Classification. In Feature Extraction we separate out eyes nose and m...