Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

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Iris Recognition Using Image Moments and k-Means Algorithm by Yaser Daanial Khan, Sher Afzal Khan, Farooq Ahmad, Saeed Islam

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Gender Classification Based on Iris Recognition Using Artificial Neural Networks by Basna Mohammed Salih, Adnan Mohsin Abdulazeez, Omer Mohammed Salih Hassan

“…In this work, the study of gender classification using Artificial Neural Networks (ANN) based on iris recognition. The eye image data were collected from the IIT Delhi IRIS Database. …”
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Efficient high‐speed framework for sparse representation‐based iris recognition by Michael Melek, Mohamed F. Abu‐Elyazeed, Ahmed Khattab

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Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion by Ying Chen, Yuanning Liu, Xiaodong Zhu, Fei He, Hongye Wang, Ning Deng

“…In this paper, we propose three discriminative feature selection strategies and weighted subregion matching method to improve the performance of iris recognition system. Firstly, we introduce the process of feature extraction and representation based on scale invariant feature transformation (SIFT) in detail. …”
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Unimodal‐Bio‐GAN: Keyless biometric salting scheme based on generative adversarial network by Mayada Tarek, Eslam Hamouda, Sara El‐Metwally

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Improving biometric recognition by means of score ratio, the likelihood ratio for non‐probabilistic classifiers. A benchmarking study by Carlos Vivaracho‐Pascual, Arancha Simon‐Hurtado, Esperanza Manso‐Martinez

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Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

“…To evaluate our proposed method, we employ both face and iris recognition based on AAPSO with SVM (AAPSO-SVM). In the face and iris recognition systems, performance is evaluated using two human face databases, YALE and CASIA, and the UBiris dataset. …”
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Automated class student counting through image processing by Agyan Panda, Azadeh Shemshad

“…Standard biometrics such as fingerprint and iris recognition have been used in automated systems in recent years. …”
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Measuring Biometric Sample Quality in terms of Biometric Feature Information in Iris Images by R. Youmaran, A. Adler

“…From this, the biometric feature information is calculated to be approximately 278 bits for PCA and 288 bits for ICA iris features using Masek's iris recognition scheme. This value approximately matches previous estimates of iris information content.…”
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Impact of Occlusion Masks on Gender Classification from Iris Texture by Claudio Yáñez, Juan E. Tapia, Claudio A. Perez, Christoph Busch

“…In these previous studies, it has been shown that occlusion masks may introduce gender information; occlusion masks are used in iris recognition to remove non-iris elements. When, the goal is to classify the gender using exclusively the iris texture, the presence of gender information in the masks may result in apparently higher accuracy, thereby not reflecting the actual gender information present in the iris. …”
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A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images by Vineet Kumar, Abhijit Asati, Anu Gupta

“…Iris segmentation in the iris recognition systems is a challenging task under noncooperative environments. …”
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