Academic literature on the topic 'Daugman normalization'

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Journal articles on the topic "Daugman normalization"

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A., B. Jagadale*, S. Sonavane S., and V. Jadhav D. "Development of Scale Invariant lens Opacity Estimation System using Hough Circle Detection Transform, Normalization and Entropy." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 5 (2021): 8–10. https://doi.org/10.35940/ijitee.E8614.0210421.

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Clear eye lens is responsible for correct vision. Ageing effect acquires opacity at lens structure causing foggy or blurred vision. It is termed as cataract. This may become cause of permanent blindness if remain unidentified and untreated. Due to hazards change in environment and adoption of sluggish lifestyle many diseases like cataract are becoming universal challenge for health organization over the world. Lack of medication and diagnosis facility in developing countries makes cataract as savior vision problem. Proposed methodology suggests image processing based, low cost solution for len
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Hicham, Ohmaid, Eddarouich S., Bourouhou A., and Timouyas M. "Comparison between SVM and KNN classifiers for iris recognition using a new unsupervised neural approach in segmentation." International Journal of Artificial Intelligence (IJ-AI) 9, no. 3 (2020): 429–38. https://doi.org/10.11591/ijai.v9.i3.pp429-438.

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A biometric system of identification and authentication provides automatic recognition of an individual based on certain unique features or characteristics he or she possesses. Iris recognition is a biometric identification method that applies pattern recognition to images of the iris. Owing to the unique epigenetic patterns of the iris, iris recognition is considered one of the most accurate methods in the field of biometric identification. The segmentation algorithm proposed in this article starts with determining the regions of the eye using unsupervised neural approach, after the outline o
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Mohan, Poovayar Priya, and Ezhilarasan Murugesan. "A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm." AIMS Bioengineering 11, no. 4 (2024): 506–26. http://dx.doi.org/10.3934/bioeng.2024023.

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<p>Lymphatic dysfunction is characterized by the sluggish movement of lymph fluids. It manifests as a “Lymphatic Rosary” in the iris which is often due to dehydration and inactivity. Detecting these signs early is crucial for diagnosis and treatment. Therefore, there is a need for an automated, accurate, and efficient method to detect lymphatic rosaries in the iris. This paper presents a novel approach for detecting a lymphatic rosary using advanced image processing techniques. The proposed method involves iris segmentation to isolate the iris from the eye, followed by normalization to s
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Rubel, Biswas, Uddin Jia, and Junayed Hasan Md. "A New Approach of Iris Detection and Recognition." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2530–36. https://doi.org/10.11591/ijece.v7i5.pp2530-2536.

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This paper proposes an IRIS recognition and detection model for measuring the e-security. This proposed model consists of the following blocks: segmentation and normalization, feature encoding and feature extraction, and classification. In first phase, histogram equalization and canny edge detection is used for object detection. And then, Hough Transformation is utilized for detecting the center of the pupil of an IRIS. In second phase, Daugmen’s Rubber Sheet model and Log Gabor filter is used for normalization and encoding and as a feature extraction method GNS (Global Neighborhood Stru
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Jusman, Yessi, Siew Cheok Ng, and Khairunnisa Hasikin. "Performances of proposed normalization algorithm for iris recognition." International Journal of Advances in Intelligent Informatics 6, no. 2 (2020): 161. http://dx.doi.org/10.26555/ijain.v6i2.397.

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Iris recognition has very high recognition accuracy in comparison with many other biometric features. The iris pattern is not the same even right and left eye of the same person. It is different and unique. This paper proposes an algorithm to recognize people based on iris images. The algorithm consists of three stages. In the first stage, the segmentation process is using circular Hough transforms to find the region of interest (ROI) of given eye images. After that, a proposed normalization algorithm is to generate the polar images than to enhance the polar images using a modified Daugman’s R
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Jagadale, A. B., S. S. Sonavane, and D. V. Jadhav. "Development of Scale Invariant lens Opacity Estimation System using Hough Circle Detection Transform, Normalization and Entropy." International Journal of Innovative Technology and Exploring Engineering 10, no. 5 (2021): 8–10. http://dx.doi.org/10.35940/ijitee.e8614.0210421.

Full text
Abstract:
Clear eye lens is responsible for correct vision. Ageing effect acquires opacity at lens structure causing foggy or blurred vision. It is termed as cataract. This may become cause of permanent blindness if remain unidentified and untreated. Due to hazards change in environment and adoption of sluggish lifestyle many diseases like cataract are becoming universal challenge for health organization over the world. Lack of medication and diagnosis facility in developing countries makes cataract as savior vision problem. Proposed methodology suggests image processing based, low cost solution for len
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Noora H. Sherif, Anmar A. Wahab, and Mohammed H. Ali. "Extraction of Iris Characteristics Using a Combination Transform for Biometric Any individual Identification." Iraqi Journal of Information and Communication Technology 7, no. 2 (2024): 41–55. http://dx.doi.org/10.31987/ijict.7.2.273.

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The iris of the eye is used as an identifying and affirmative biometric in many vital applications such as banking and airports.And iris identification is one of the most reliable and accurate biometric identification systems available due to its stability and lack of sensitivity to longevity. In this article, authorized standard processes such as iris segmentation, normalization, and feature extraction were utilized to examine the iris of the eye. The circular hough transform is used for iris segmentation, while the daughman rubber-sheet model is used for iris picture normalization. Using a c
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Shirke, Swati D., and C. Rajabhushnam. "Local gradient pattern and deep learning-based approach for the iris recognition at-a-distance." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 1 (2021): 49–64. http://dx.doi.org/10.3233/kes-210052.

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One of the biometric techniques utilized to predict the human is based on the iris. The recognition of iris is performed by discovering an individual without human intervention utilizing the iris of human eyes. Iris offers distinct information about the person. This research presents deep learning strategy for performing iris recognition. Primarily, image is pre-processed to obtain exact region iris. Then, region of iris is extracted using Hough Transform, followed by segmentation and normalization of iris region using Daugman’s rubber sheet model. Once segmentation is performed, the features
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El-Sayed, Mohamed A., and Mohammed A. Abdel-Latif. "Iris recognition approach for identity verification with DWT and multiclass SVM." PeerJ Computer Science 8 (March 23, 2022): e919. http://dx.doi.org/10.7717/peerj-cs.919.

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The iris has been proven to be one of the most stable and accurate biometrics. It has been widely used in recognition systems to determine the identity of the individual who attempts to access secured or restricted areas (e.g., airports, ATM, datacenters). An iris recognition (IR) technique for identity authentication/verification is proposed in this research. Iris image pre-processing, which includes iris segmentation, normalization, and enhancement, is followed by feature extraction, and matching. First, the iris image is segmented using the Hough Transform technique. The Daugman’s rubber sh
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Shirke, Swati D., and Cherukuri Rajabhushnam. "ScatT-LOOP: scattering tetrolet-LOOP descriptor and optimized NN for iris recognition at-a-distance." Biomedical Engineering / Biomedizinische Technik 66, no. 2 (2021): 167–80. http://dx.doi.org/10.1515/bmt-2019-0241.

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Abstract Iris Recognition at-a Distance (IAAD) is a major challenge for researchers due to the defects associated with the visual imaging and poor image quality in dynamic environments, which imposed bad impacts on the accuracy of recognition. Thus, in order to enable the effective IAAD, this paper proposes a new method, named, Chronological Monarch Butterfly Optimization (Chronological MBO)-enabled Neural Network (NN). The recognition of iris using NN is trained with the proposed Chronological MBO, which is developed through the combination of Chronological theory in Monarch Butterfly Optimiz
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Dissertations / Theses on the topic "Daugman normalization"

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Maruniak, Lukáš. "Software pro biometrické rozpoznávání duhovky lidského oka." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-235000.

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In my thesis, I focus on the task of recognizing human iris from an image.In the beginning, the work deals with a question of biometrics, its importance and basic concepts, which are necessary for use in following text. Subsequently process of human Iris detection is described together with theory of evolution algorithms. In the implementation part, is described the design of implemented solution, which uses evolution algorithms, where is emphasis on correct pupil and iris boundary detection.
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