Multimodal Biometric Personal Identification System Based On IRIS & Fingerprint

Abstract

 Biometric systems can recognize individuals according to their physiological or behavioral characteristics. Many times due to some problems like noisy data, non-university, spoof attacks, and unacceptable error rates, a single biometric system can not meet the desired requirements for many user applications. Algorithm based on facts and existing data show that the recognition of an identification or verification system performance can be improved by using more than one biometric "Multimodal Biometric". The proposed system introduced in this paper is based on two biometrics (IRIS and Fingerprint).

Authors and Affiliations

Prof:Ahmed M. Hamad , Dr. Rasha Salah Elhadary , Ahmed Omar Elkhateeb

Keywords

Related Articles

Fuzzy Clustering as an Intrusion Detection Technique

Intrusion detection and clustering have always been hot topics in the field of machine learning. Clustering as an intrusion detection technique has long before proved to be beneficial. But as the methods and types of att...

Reduction of THD in Power Systems using STATCOM

In this paper, an operation methodology of a STATCOM (Static Synchronous Compensator) is proposed for reduction in Total Harmonic Distortion (THD) in power systems. For achieving this objective a comparison is made betwe...

Effect of Commutation Inductor in ZVS and Clamped Voltage

This paper presents an analysis of the effect of commutation inductor in ZVS and clamped voltage. To constructsuch converters, a switch cell, which consists of the basic PWM switch cell and an additional commutation indu...

Intrusion Detection System Based on 802.11 Specific Attacks

Intrusion Detection Systems (IDSs) are a major line of defense for protecting network resources from illegal penetrations. A common approach in intrusion detection models, specifically in anomaly detection models, is to...

Non Stationary Noise Removal from Speech Signals using Variable Step Size Strategy

 The aim of this paper is to implement various adaptive noise cancellers (ANC) for speech enhancement based on gradient descent approach, namely the least-mean square (LMS) algorithm and then enhanced to variable st...

Download PDF file
  • EP ID EP146466
  • DOI -
  • Views 117
  • Downloads 0

How To Cite

Prof:Ahmed M. Hamad, Dr. Rasha Salah Elhadary, Ahmed Omar Elkhateeb (2013). Multimodal Biometric Personal Identification System Based On IRIS & Fingerprint. International Journal of Computer Science and Communication Networks, 3(4), 226-230. https://europub.co.uk/articles/-A-146466