Journal Article10.1007/s11042-022-12517-8
A low complexity Iris localization algorithm for Iris biometrics
Shahrukh Agha,Farmanullah Jan +1 more
2
TL;DR: A low-complexity iris localization algorithm that takes less than a second to mark both iris contours, which is a green signal for its real-time applications.
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About: This article is published in Multimedia Tools and Applications. The article was published on 23 Feb 2022. The article focuses on the topics: Computer science & Computer science.
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Citations
Iris Recognition Using Machine Learning Based Pearson's Correlation Coefficient Feature Selection with Hamming Distance
Laith H. Alzubaidi,V. Malathy,A. H. A. Hussein,Baydaa Sh. Z. Abood,N. Tamilarasi +4 more
- 04 Dec 2023
TL;DR: A machine learning (ML)-based approach to enhance the accuracy of matching raw inputs, as demonstrated through experiments conducted on the Multimodal University (MMU) dataset, utilizing Pearson's correlation-based feature selection.
A cascaded deep learning framework for iris centre localization in facial image
Naseem Ahmad,Ghulam Muhammad,Kuldeep Singh Yadav,Rabul Hussain Laskar,Ashraf Hossain,Zulfiqar Ali +5 more
TL;DR: A cascaded deep learning framework for iris centre localization in facial images is proposed that is robust to variations like pose, scale, rotation, specular reflection, and image quality.
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TL;DR: The main purpose of this paper is to announce the availability of the UBIRIS.v2 database, a multisession iris images database which singularly contains data captured in the visible wavelength, at-a-distance and on on-the-move.