A NOVAL APPROACH TO IRIS RECOGNITION BASED ON FEATURE LEVEL FUSION USING CLASSIFICATION TECHNIQUES �
SAJJAD SHAIK
, CHAITANYA KONDA
filters, PCA, SVM, KNN classifications.
Now a days, Security demands are increasing in networked society. With these increases in biometric systems for accurate user authentication are becoming more popular. Iris Recognition System is one of the most popular authentication approach based on Iris of an individual. Every Iris has fine unique texture and does not change overtime. This project proposes a new iris recognition system based on feature level fusion using PCA to improve speed and accuracy of authentication. The iris textures are extracted from 2DGabor filters and Haar wavelet. In this textures are fused and then used to identify genuine users. In order to classify the extracted features process this project is using different classification techniques like KNN, Decision Trees, Multilayer Perceptron, Support Vector Machine (SVM) and Navie Bayes techniques. The proposed Iris recognition system is evaluated basing on Equal Error Rate using FAR and FRR.
" A NOVAL APPROACH TO IRIS RECOGNITION BASED ON FEATURE LEVEL FUSION USING CLASSIFICATION TECHNIQUES �", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 7, page no.287 - 292, July-2017, Available :https://ijsdr.org/papers/IJSDR1707047.pdf
Volume 2
Issue 7,
July-2017
Pages : 287 - 292
Paper Reg. ID: IJSDR_170652
Published Paper Id: IJSDR1707047
Downloads: 000347216
Research Area: Engineering
Country: GUNTUR, ANDHRA PRADESH, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
