Multimodal Biometric System Fusion Using Fingerprint and Iris with Convolutional Neural Network
Journal Title: Engineering and Technology Journal - Year 2024, Vol 9, Issue 09
Abstract
Biometric sensing technology became everyday life frequent component as a result of world requirement for info security and safety legislation. A strong and efficient individual authentication has appeared because of new developments in multimodal biometrics. Multimodal biometrics integrates different biological traits in trying for creating considerable effect on identification performance. Latent fingerprint biometrics refer to effective human identification system for criminals given the accessible crime evidence shreds. Although, biometric trait restrictions like intra-class variation, sensed data noise, lack of individuality caused low matching score that possesses a negative effect on recognition and investigation process. This paper uses two unimodal biometrics—the fingerprint and the iris—applied as multi-biometrics to show that using these biometrics can produce excellent results with high accuracy. Every biometric result is weighted for involvement in the final decision, and the decision level is utilized for fusion. For every biometric result integration effect, a neural network is used. The datasets' experimental findings have demonstrated a notable biometric system identification capability. The accuracy performance of the suggested approach is 100, the FAR is 0.1, and the EER is 0.1. To demonstrate the efficacy of the suggested system, the suggested method is contrasted with a few other approaches currently in use.
Authors and Affiliations
Ghadeer Ibrahim Maki , Sarah Basim Abed,
Keywords
Related Articles
- EP ID EP744932
- DOI 10.47191/etj/v9i09.16
- Views 60
- Downloads 0
Biodiesel Production from Waste Animal Fats: Marketable Products, their Potential, Challenges, and Opportunities
The volatility in global fuel prices and the desire to reduce dependence on fossil fuels necessitate the acceleration of alternative energy sources. The urgent global need to reduce CO2 and greenhouse gas (GHG) emissions...
COMPUTER AIDED FUZZY CONTROL CHARTS FOR EVALUATING AND ANALYZING VARIABLE DATA
One of the limitations of fuzzy control charts is the complexity of their mathematical relations, and there is no software built to draw and analyze the fuzzy control charts. This research presents a visual presentation...
APPLYING PRECISION INTO PROACTIVE MAINTENANCE IN NIGERIA ELECTRIC POWER INDUSTRY
Power station plants and equipments are required to run for well beyond their intended lifetime. Opening up machines for inspections is expensive and owners need to consider all relevant information in making the decisio...
USE OF CONSTRUCTION INFORMATION MODELLING TECHNOLOGY TO STUDY THE RELATIONSHIP BETWEEN THE SHAPE OF THE PUBLIC HOSPITAL BUILDING AND THE ECONOMIC FEASIBILITY
With the great development that is taking place in the methods of treatment and diagnosis, it had to be accompanied by a similar development in the planning and design of hospitals and management, and with this developme...
RELIABILITY AND AVAILABILITY IMPROVEMENT TECHNIQUES FOR NIGERIA ELECTRIC POWER STATIONS
The maintenance of plant in the electric power stations involves an annual expenditure of millions of dollars and it is therefore essential to establish the cost-effectiveness of the present maintenance policies. The maj...