Pupil centre coordinates detection using the circular Hough transform technique

Bozomitu, Radu Gabriel; Păsărică, Alexandru; Cehan, Vlad; Rotariu, Cristian; Barabasa, Constantin

doi:10.1109/isse.2015.7248041

Cited by 18 publications

(7 citation statements)

References 6 publications

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“…Purkinje images are visible on the pupil as shown in Figure 7 a. However, the Hough transform was applied to extract the section of the image that corresponds to the iris of the eye and eliminate the rest of the image content obtained by the camera [ 41 ]. This prevents the detection of false reflections generated by other parts of the human eye (tear film).…”

Section: Purkinje Image Detectionmentioning

confidence: 99%

Measurement of Longitudinal Chromatic Aberration in the Last Crystalline Lens Surface Using Hartmann Test and Purkinje Images

Calderon-Uribe

Hernández-Gómez

Gómez-Vieyra

2022

Sensors

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Research has shown that longitudinal chromatic aberration (LCA) of the human eye is generated across all of the eye’s optical surfaces. However, it may not be necessary to measure the LCA from the first surface of the cornea to the retina, as it is known that most of the changes that can modify the path of light occur from the first surface of the cornea to the last surface of the crystalline lens. This investigation presents the study of an objective technique that allows the measurement of longitudinal chromatic aberration (LCA) on the last crystalline lens surface by developing a pulse width wavefront system using a Hartmann test, Purkinje image, and Zernike polynomial. A blue pulse (440–480 nm) and a red pulse (580–640 nm) were used to generate a pattern of spots in the human eye. This pattern generated on the posterior surface of the crystalline lens of the human eye allows the reconstruction of the wavefront via a modal method with Zernike polynomials. Once the wavefront is reconstructed, Zernike coefficients can be used to quantify the LCA. The methodology and objective measurements of the magnitude of the longitudinal chromatic aberration of five test subjects are explained in this article.

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Section: Purkinje Image Detectionmentioning

confidence: 99%

Measurement of Longitudinal Chromatic Aberration in the Last Crystalline Lens Surface Using Hartmann Test and Purkinje Images

Calderon-Uribe

Hernández-Gómez

Gómez-Vieyra

2022

Sensors

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“…Para la etapa de extracción de características se hizo uso de la colorimetría, mediante ella obtendremos información colorimétrica de cada píxel; además al considerar la distribución que tiene todos los pixeles que componen una muestra podremos obtener datos sobre el color dentro del área de interés [16] [17] en nuestro caso el área de interés (ROI) es la pupila. Después de obtener los datos colorimétricos sobre las pupilas en las fotografías, tanto en las que se presentaba un tipo de enfermedad ocular como en las que no, se realiza una descomposición en rangos de colores para dichas imágenes digitales.…”

Section: Etapa De Extracción De Característicasunclassified

Procesamiento de Imagenes Digitales para el Análisis de Enfermedades Oculares

Tacca

Gutierrez²

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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Currently, eye diseases are a serious problem in our society, their incidence and prevalence are constantly growing. Worldwide, it is estimated that approximately 1.3 billion people live with visual impairment, 39 million are blind, of which 80% of all cases could have been avoided. Digital image processing is the set of techniques that are applied to images, to improve quality or facilitate the search for information within them. One of the main areas that are gaining importance in the implementation of these techniques is medicine because, with this processing, assistance can be given in the diagnosis of different eye diseases. The objective of this work is to be able to assist in the diagnosis of eye diseases using pre-processing, segmentation, extraction of characteristics and classification of these images. When evaluating 120 images, the result obtained from the processing gave us 86.63% accuracy when detecting possible eye disease.

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“…Pupil detection is implemented by using the Hough transform algorithm [17]. There is a pre-processing step that must be achieved before implementing the Hough transform [17]. First, we have transformed the image into a grayscale.…”

Section: Pupil Detectionmentioning

confidence: 99%

Composition of Methods to Ensure Iris Liveness and Authenticity

Al-Rashid¹

2020

Adv. sci. technol. eng. syst. j.

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In a biometric system technology, a person is authenticated based on processing the unique features of the human biometric signs. One of the well known biometric systems is iris recognition, this technique being considered as one of the most secure authentication solutions in the biometric field. However, several attacks do exist that are able to spoof iris. In this paper, we propose a novel approach for securing the iris recognition system by eye liveness detection technique. The proposed system detects the eye liveness, and recognises the iris. This process includes multiple steps. As per the first step, the person opens his eye and the system reads remotely the changes in pupil size as a result of the response to the ambient illumination. Then, the system starts matching the iris with a database. The second step: the person closes his eye and the system remotely detects the heartbeats signals under the skin of the eyelid. As per the third step, the person opens his eyes again and the system reads the pupil size again and compares the results of the pupil size, and then the system matches again the iris with the above database. For the iris recognition to be validated, all the above checks have to be passed. We have conducted several experiments with our proposed system, based on a brand new dataset comprised of 40 subjects. In addition, we also used public datasets: CASIA-Interval, CASIA-Twin and Ubiris.V1. The achieved results show the quality and viability of our proposal.

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Pupil centre coordinates detection using the circular Hough transform technique

Cited by 18 publications

References 6 publications

Measurement of Longitudinal Chromatic Aberration in the Last Crystalline Lens Surface Using Hartmann Test and Purkinje Images

Measurement of Longitudinal Chromatic Aberration in the Last Crystalline Lens Surface Using Hartmann Test and Purkinje Images

Procesamiento de Imagenes Digitales para el Análisis de Enfermedades Oculares

Composition of Methods to Ensure Iris Liveness and Authenticity

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