An Iris recognition algorithm based on coarse and fine location

Li, Zexi

doi:10.1109/icbda.2017.8078735

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…The appropriate majority methods are edge-based methodologies [9][10][11][12][13][14][15], at first; the edge features are utilised to detect the outer and inner iris borders. Images are taken under the visible wavelength spectra but in uncooperative environments of recognition might be lead to light reflections and specular [16], which could produce false edges in edge maps.…”

Section: Literature Reviewmentioning

confidence: 99%

Fast Iris Localization Based on Image Algebra and Morphological Operations

Hashim¹,

Saleh²

2019

JUBPAS

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The localization of the iris is the most significant factor in biometrics of the iris, which traditionally assumes strictly controlled environments. The proposed method includes the pupillary and limbic iris boundaries localization. A primary advantage of image arithmetic operations is that the process is straightforward and therefore fast, these characteristics are employed and combined with the morphological operators in the designing of the proposed algorithm. The proposed algorithm takes into account the noise area which is found in various parts of the eye image such as light reflections, focus, and small visible iris. The experimental results are conducted on a collection of iris images consist of 756 images belong to Chinese Academy of Sciences Institute of Automation (CASIA V-1) and 450 images belong to Multi Media University (MMU V-1) databases. The results indicate a high level of accuracy using the proposed technique. Moreover, the comparison results with the state-of-the-art iris localization algorithms expose considerable improvement in segmentation accuracy while being computationally more efficient.

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Section: Literature Reviewmentioning

confidence: 99%

Fast Iris Localization Based on Image Algebra and Morphological Operations

Hashim¹,

Saleh²

2019

JUBPAS

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“…HT discovers the circularity via edge-map voting inwards, the specified radius range identified as the Wildes strategy [4]. Moreover, HT-based on detection approaches are likewise utilized by [5][6][7][8][9][10][11]. Daugman"s IDO [12] which is the first approach for iris biometrics was proposed.…”

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confidence: 99%

Segmentation Approach for a Noisy Iris Images Based on Hybrid Techniques

Abdelwahed¹,

Hashim²,

Hasan³

2020

ETJ

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Iris recognition indicates the procedure of recognizing humans based on their both left and right iris patterns. Nowadays there is rapid progress in realizing an old dream of developing a user-friendly recognition system. Most of the new projects became a nightmare of security of the system. The prosperity of iris recognition aside from its attractive physical characteristics is led to developing an efficient feature extractor to attain the required objective of recognition. Fingerprint, facial, and iris biometric techniques are developed widely for identifying processing most boarded management points, access control, and military checkpoints. Hybridization between Daugman’s Integro Differential Operator (IDO) with edge base methods was realized through taking the advantages of the good qualities of both methods so as to enhance the precision and reduce the required time. The proposed hybrid recognition system is very reliable and accurate. UBIRIS version 1 dataset was utilized in the conducted simulation which indicates the distinctions of the hybrid method in providing good performance and accuracy with reducing the time consuming of iris localization by approximately 99% compared with IDO and edge based methods.

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