A simple boundary extraction technique for irregular pupil localization with orthogonal polynomials

Krishnamoorthi, R.; Annapoorani, G.

doi:10.1016/j.cviu.2011.10.002

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…The spatial variation that causes the interaction effects are owing to micro texture present in the iris region. To investigate whether a specified region possesses texture characteristics, the Hartley’s criteria are applied for testing the homogeneity amongst variances (Krishnamoorthi and Anna Poorani 2012 ). Once, texture regions are identified, the F-ratio test is applied for computing the SNR and the result of the F-ratio test for determining significance towards the micro texture is encoded as a binary string.…”

Section: Orthogonal Polynomials Based Iris Recognitionmentioning

confidence: 99%

Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system

Krishnamoorthi

Poorani

2016

SpringerPlus

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Iris normalization is an important stage in any iris biometric, as it has a propensity to trim down the consequences of iris distortion. To indemnify the variation in size of the iris owing to the action of stretching or enlarging the pupil in iris acquisition process and camera to eyeball distance, two normalization schemes has been proposed in this work. In the first method, the iris region of interest is normalized by converting the iris into the variable size rectangular model in order to avoid the under samples near the limbus border. In the second method, the iris region of interest is normalized by converting the iris region into a fixed size rectangular model in order to avoid the dimensional discrepancies between the eye images. The performance of the proposed normalization methods is evaluated with orthogonal polynomials based iris recognition in terms of FAR, FRR, GAR, CRR and EER.

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Section: Orthogonal Polynomials Based Iris Recognitionmentioning

confidence: 99%

Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system

Krishnamoorthi

Poorani

2016

SpringerPlus

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“…The location accuracy of pupil center is affected. Krishnamoorthi and Annapoorani [ 23 ] propose a boundary extraction technique to localize pupil. Orthogonal polynomials model is adopted to analysis the structure of an eye image.…”

Section: Introductionmentioning

confidence: 99%

Pupil and Glint Detection Using Wearable Camera Sensor and Near-Infrared LED Array

Wang

Zhang

Shi

2015

Sensors

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This paper proposes a novel pupil and glint detection method for gaze tracking system using a wearable camera sensor and near-infrared LED array. A novel circular ring rays location (CRRL) method is proposed for pupil boundary points detection. Firstly, improved Otsu optimal threshold binarization, opening-and-closing operation and projection of 3D gray-level histogram are utilized to estimate rough pupil center and radius. Secondly, a circular ring area including pupil edge inside is determined according to rough pupil center and radius. Thirdly, a series of rays are shot from inner to outer ring to collect pupil boundary points. Interference points are eliminated by calculating gradient amplitude. At last, an improved total least squares is proposed to fit collected pupil boundary points. In addition, the improved total least squares developed is utilized for the solution of Gaussian function deformation to calculate glint center. The experimental results show that the proposed method is more robust and accurate than conventional detection methods. When interference factors such as glints and natural light reflection are located on pupil contour, pupil boundary points and center can be detected accurately. The proposed method contributes to enhance stability, accuracy and real-time quality of gaze tracking system.

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Robust Pupil Localization Algorithm under Off-axial Pupil Occlusion

Dewi

Wibirama

Ardiyanto

2019

2019 2nd International Conference on Bioinformatics, Biotechnology and Biomedical Engineering (BioMIC) - Bioinformatics and Bio

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A simple boundary extraction technique for irregular pupil localization with orthogonal polynomials

Cited by 7 publications

References 21 publications

Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system

Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system

Pupil and Glint Detection Using Wearable Camera Sensor and Near-Infrared LED Array

Robust Pupil Localization Algorithm under Off-axial Pupil Occlusion

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