scholarly journals Robust Feature Extraction and Iris Recognition for Biometric Personal Identification

10.5772/18374 ◽  
2011 ◽  
Author(s):  
Rahib Hidayat ◽  
Kemal Ihsan
Keyword(s):  
Feature Extraction ◽  
Iris Recognition ◽  
Personal Identification ◽  
Robust Feature Extraction

scholarly journals Enhanced Iris Recognition for Person Identification

2019 ◽  
Vol 8 (4) ◽  
pp. 7400-7404
Keyword(s):  
Feature Extraction ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Euclidean Distance ◽  
Iris Recognition ◽  
Feature Matching ◽  
Recognition Task ◽  
Personal Identification ◽  
Discrete Wavelet ◽  
Person Identification

Iris recognition is a secure biometric for personal identification. Commonly used biometric are voice, face, fingerprint, iris etc. Among this iris recognition is considered as more accurate, because iris is externally visible and the texture patterns are unique and stable throughout a person’s whole life. The main steps involved in iris recognition are pre-processing, feature extraction and feature matching. Unique preprocessing methods are mentioned in this work. The feature extraction phase is imperative in iris recognition task. Here in this work feature extraction utilizing Discrete Wavelet Transform (DWT) and matching of iris pictures utilizing Euclidean distance

Feature Extraction for IRIS Recognition

2009 ◽  
pp. 31-39 ◽  
Author(s):  
Debnath Bhattacharyya ◽  
Poulami Das ◽  
Samir Kumar Bandyopadhyay ◽  
Tai-hoon Kim
Keyword(s):  
Feature Extraction ◽  
Iris Recognition

scholarly journals Survey on finger-vein segmentation and authentication

2017 ◽  
Vol 7 (1.2) ◽  
pp. 9 ◽  
Author(s):  
Shwetambari Kharabe ◽  
C. Nalini
Keyword(s):  
Feature Extraction ◽  
Cost Efficiency ◽  
Personal Identification ◽  
Electronic Information ◽  
Basic Principles ◽  
Long Period ◽  
Finger Vein ◽  
Authentication Technique ◽  
Ideal Process ◽  
The Ideal

Exploding growth in the field of electronic information technology, the finger vein authentication technique plays a vibrant role for personal identification and verification. In recent era, this technique is gaining popularity, as it provides a high security and convenience approach for personal authentication. Vein biometrics is an emerging methodologycomparing to other systems, due to its strengths of low forgery risk, aliveness detection and stableness over long period of time. Literatures published based on different techniques used forand authentication process are described and evaluated in this paper. These processes hadgained an outstanding promise in variety of applications and much attention among researchers to provide combine accuracy, universality and cost efficiency. This paper in brief, reviews various approaches used for finger vein segmentation and feature extraction. The reviews are based on finger vein basic principles, image acquisition methodology, pre-processing functions, segmentation, feature extraction,classification, matching and identification procedures, which are analyzed scientifically, thoroughly and comprehensively.Based on the analysis, the ideal process and procedure is identified, which will be an idyllic solution for finger vein authentication.

Sign in / Sign up

Export Citation Format

Share Document