JOURNAL ARTICLE

Feature Extraction Techniques for Iris Recognition System: A Survey

Adekunle AdekunleOleksandr ZakovorotnyiAiyeniko AiyenikoO OEze EzeMeera Thomas. OAlao O.D

Year: 2020 Journal:   International Journal of Innovative Research in Computer Science & Technology Vol: 8 (2)Pages: 37-42

Abstract

The extraction of features involves the method of converting the original pixel values of an image to more meaningful, useful and measurable information that can be used in other techniques, such as image processing, pattern recognition and machine learning.The feature extraction plays a predominant role in iris recognition in which also the recognition rate is determined.The effective recognition accuracy, reduction of misclassification of two iris templates mostly depends on feature extraction techniques.An efficient iris recognition system requires that the discriminating information presents in an iris pattern to be accurately obtained.This paper performed a literature review on different techniques of feature extraction of iris recognition.The recommendation was made on how these techniques can be further enhanced to produce an effective iris recognition system.

Keywords:
Iris recognition Artificial intelligence Feature extraction Computer science Pattern recognition (psychology) IRIS (biosensor) Feature (linguistics) Computer vision Biometrics

Metrics

7
Cited By
0.74
FWCI (Field Weighted Citation Impact)
32
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing

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