Feature Extraction Techniques for Iris Recognition System: A Survey
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 2
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.
Authors and Affiliations
Adekunle, Y. A. , Aiyeniko, O. , Eze, M.O. , Alao O. D.
Measuring Maintainability of Object Oriented Design (MMOOD)
Measuring maintainability early in the software development life cycle mainly at design phase is a landmark of crucial significance to software designers, developers and quality controllers. Initial Measurement of object...
Effects of Basketball Shooting Distance on Release Angle
Basketball, as one of the most popular sports worldwide, has attracted approximately 450 million participants. Studies show that nearly half of the points scored in a game come from jump shots, making it an indispensable...
Diabetic Retinopathy Early Detection Using Bag of Features Point Dependent Image Processing Methods
Diabetic Retinopathy (DR) is a major problem that impairs anthropological eyesight. It is usually formed at the rear side of the eye retina, when light-sensitive tissues' blood vessels are damaged. Based on symptoms or d...
Discrimination Avoidance Methods in Data Mining
Discrimination like privacy is a big issue when legal and ethical aspects of Data mining are considered. Most people don’t like to be discriminated for their gender, religion, nationality, age and so on, especially when...
A Powerful Method for Extracting the Original Signal from the Noisy Input Signal by using the Iterative Reconstruction Framework of the Short Time Fourier Transformation
In the current system for the reconstruction of speech, it is used iterative reconstruction framework of short time Fourier transformation (STFT). When a lot of noise is added to the input speech, the iterative reconstru...