Extraction of Iris Crypt, Pigment Spot, and Wolfflin Nodule Biological Feature using Feature Point Selection Algorithms

The iris biometrics is an important biological feature of the human. The iris is the part of human eye. The human eye consists of many features. Iris is one of the unique features of human eye. In this paper we propose an algorithm to extract the features of iris. The existing algorithms are based on combined biological features of iris. We are going to introduce separate biological features and extract them one by one using suitable algorithms. The proposed method is used to extract the biological features of human iris. The proposed method uses crypts, pigment layers, and Wolfflin nodules features of iris. Each feature is extracted initially and suitable feature selection algorithm is identified. The manual cropping is initially applied in the eye image which extracts iris layer. The manual cropping is further applied on iris to locate the biological layers. Canny edge detection is applied on each iris feature. The FAST, SURF, MinEigen, BRISK, and MSER feature points are collected from each biological layer. The MinEigen extracts 218 feature points from the crypt layer. The BRISK extracts 161 and 89 feature points from the pigment and Wolfflin nodules. The proposed system can be used in iris recognition system all over the world for various authentication and security purposes. The individual feature extraction helps to make the recognition system more secure and accurate as compared to the existing systems which uses combined biological features. Thus, the proposed system is advantageous as compared to the existing systems and the efficiency will also be high if it is used for iris recognition.

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Performance Analysis of Iris Recognition using Multi Stage Wavelet Transform Decomposition and Bicubic Interpolation Technique

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.e7322.088619 ◽

2019 ◽

Vol 8 (6) ◽

pp. 1-10

Keyword(s):

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Iris Recognition ◽

Image Features ◽

Discrete Wavelet ◽

Multi Stage ◽

Human Iris ◽

The Individual ◽

Matching Score ◽

Bicubic Interpolation

Biometric identification is highly reliable for human identification. Biometric is a field of science used for analyzing the physiological or behavioural characteristics of human. Iris features are unique, stable and can be visible from longer distances. It uses mathematical pattern-recognition techniques on video images of one or both iris of an individual's. Compared to other biometric traits, iris is more challenging and highly secured tool to identify the individual. In this paper iris recognition based on the combination of Discrete Wavelet Transform (DWT), Inverse Discrete Wavelet Transform (IDWT), Independent Component Analysis (ICA) and Binariezed Statistical Image Features (BSIF) are adopted to generate the hybrid iris features. The first level and second level DWT are employed in order to extract the more unique features of the iris images. The concept of bicubic interpolation is applied on high frequency coefficients generated by first level decomposition of DWT to produce new set of sub-bands. The approximation band generated by second level decomposition of DWT and new set of sub-bands produced by second level decomposition of DWT are applied on IDWT to reconstruct the coefficients. The ICA 5x5 filters and BSIF are adopted for selecting the appropriate images to extract the final features. Finally based on the matching score between the database image and test image the genuine and imposters are identified. Using CASIA database, training and testing of the features is performed and performance is evaluated considering different combinations of Person inside Database (PID) and Person outside Database (POD).

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A Review of the Iris Recognition Methods Used for the Individual Authentication

Transactions on Machine Learning and Artificial Intelligence ◽

10.14738/tmlai.86.9687 ◽

2020 ◽

Vol 8 (6) ◽

pp. 16-27

Author(s):

Amina A. Abdo ◽

Ahmed O. Lawgali ◽

Mohamed Abdalla

Keyword(s):

Iris Recognition ◽

Reliable Tool ◽

Human Iris ◽

The Common ◽

Iris Patterns ◽

And Performance ◽

The Individual ◽

Automated Methods

The automatic iris recognition has become one of the most important techniques for authenticating the identity of individuals. The analysis of human iris is a reliable tool for the individual authentication due to the iris structure. Iris patterns constitute one of the uniqueness, permanence, and performance biometric traits. Moreover, the iris is considered as not easily tampered biometric traits. Therefore, this paper considers investigating the common automated methods of iris recognition. It surveys the development of utilizing iris images as an authentication means through the explanation of the historical improvement of the processes of the iris analysis. The contribution of this paper is to provide readers with huge information collected and discussed from more than 40 papers of iris recognition studies which have been published in a period of more than 20 years.

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Enhanced Human Iris Recognition System based on Procedure of Authentication System

International Journal of Computer Applications ◽

10.5120/ijca2016910903 ◽

2016 ◽

Vol 146 (9) ◽

pp. 36-40 ◽

Cited By ~ 1

Author(s):

Rajvir Kaur ◽

Ishpreet Singh

Keyword(s):

Iris Recognition ◽

Recognition System ◽

Human Iris ◽

Authentication System

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A fast specular reflection removal based on pixels properties method

Bulletin of Electrical Engineering and Informatics ◽

10.11591/eei.v9i6.2524 ◽

2020 ◽

Vol 9 (6) ◽

pp. 2358-2363

Author(s):

Shahrizan Jamaludin ◽

Nasharuddin Zainal ◽

W. Mimi Diyana W. Zaki

Keyword(s):

Execution Time ◽

Iris Recognition ◽

Specular Reflection ◽

Recognition System ◽

The Other ◽

Iris Segmentation ◽

Removal Method ◽

Human Iris ◽

Segmentation Accuracy ◽

Recognition Systems

Iris recognition has been around for many years due to an extensive research on the uniqueness of human iris. It is well known that the iris is not similar to each other which means every human in the planet has their own iris pattern and cannot be shared. One of the main issues in iris recognition is iris segmentation. One element that can reduce the accuracy of iris segmentation is the presence of specular reflection. Another issue is the speed of specular reflection removal since the iris recognition system needs to process a lot of irises. In this paper, a specular reflection removal method was proposed to achieve a fast and accurate specular reflection removal. Some modifications were implemented on the existing pixels properties method. Based on the results, the proposed method achieved the fastest execution time, the highest segmentation accuracy and the highest SSIM compared to the other methods. This proves that the proposed method is fast and accurate to be implemented in the iris recognition systems.

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Biometric Private Iris Recognition from an Image at Long Distance

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.e1105.0785s319 ◽

2019 ◽

Vol 8 (5S3) ◽

pp. 539-550

Keyword(s):

Iris Recognition ◽

Near Infrared ◽

State Of The Art ◽

Recognition System ◽

Biometric System ◽

Indian Government ◽

Long Distance ◽

Effective Technique ◽

Recognition Systems ◽

The Individual

The specially finished annular element of the person eye which is remotely visible is - iris. This iris recognition is useful to identify the individual. In number of applications the iris recognition system is used. Most of the countries uses biometric system for security purpose such that in airfield boarding, custom clearance, congregation entrance and so on. The Indian government also uses biometric system for identification of citizen in different applications like as in rashan shop, Aadhar project, in different government exam forms and registration dept. etc. The customary iris recognition systems develop near infrared (NIR) sensors to obtain pictures of the iris. But in this method the iris can acquire distance less than 1 meter. In the course of the last several years, there have been different designs to plan and complete iris acknowledgment frameworks which operates at longer distance ranging from 1 meter to 60 meter. Therefore, due to such long range of iris recognition systems and iris acquisition system gives to the best applications to the client. In this paper, an effective technique for iris recognition is present to identify the individual. It uses iris-recognition-at-a-distance (IAAD) system and state-of-the-art design methods to audits the iris recognition system. The primary point of this article is analyzing the criticalness and employments of IAAD systems with respect to human recognition, the review of existing IAAD structures, comparison of different method which are already implemented in literature and improvement of IAAD accuracy along with iris.

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IRIS AND FINGER VEIN MULTI MODEL RECOGNITION SYSTEM BASED ON SIFT FEATURES

Journal of Advanced Sciences and Engineering Technologies ◽

10.32441/jaset.v1i2.119 ◽

2018 ◽

Vol 1 (2) ◽

pp. 34-44

Author(s):

Faris E Mohammed ◽

Dr. Eman M ALdaidamony ◽

Prof. A. M Raid

Keyword(s):

Iris Recognition ◽

Recognition Performance ◽

Recognition System ◽

Individual Identification ◽

Work Place ◽

Identification Process ◽

Finger Vein ◽

Noise Point ◽

Vein Recognition ◽

A New Technique

Individual identification process is a very significant process that resides a large portion of day by day usages. Identification process is appropriate in work place, private zones, banks …etc. Individuals are rich subject having many characteristics that can be used for recognition purpose such as finger vein, iris, face …etc. Finger vein and iris key-points are considered as one of the most talented biometric authentication techniques for its security and convenience. SIFT is new and talented technique for pattern recognition. However, some shortages exist in many related techniques, such as difficulty of feature loss, feature key extraction, and noise point introduction. In this manuscript a new technique named SIFT-based iris and SIFT-based finger vein identification with normalization and enhancement is proposed for achieving better performance. In evaluation with other SIFT-based iris or SIFT-based finger vein recognition algorithms, the suggested technique can overcome the difficulties of tremendous key-point extraction and exclude the noise points without feature loss. Experimental results demonstrate that the normalization and improvement steps are critical for SIFT-based recognition for iris and finger vein , and the proposed technique can accomplish satisfactory recognition performance. Keywords: SIFT, Iris Recognition, Finger Vein identification and Biometric Systems. © 2018 JASET, International Scholars and Researchers Association

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