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Published in 2020 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01103-3
Abstract: Over the past two decades, researchers in the field of biometrics have presented a wide variety of coding-based palmprint recognition methods. These approaches mainly rely on extracting the texture features, e.g. line orientations, and phase…
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Keywords:
fast efficient;
block means;
palmprint recognition;
palmprint ... See more keywords
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Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-01049-7
Abstract: Orientation based coding method is one of the most important approaches in palmprint recognition, which achieves impressive performance by extracting one or more dominant orientation features, and calculating the distance between features of two palmprints.…
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Keywords:
palmprint recognition;
feature;
orientation;
orientation space ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3064638
Abstract: Biometric recognition systems based on 3D palmprint captured with optical technology have been widely investigated in the last decade; however, they can provide information about the external skin surface only. This limit can be overcome…
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Keywords:
access;
recognition system;
palmprint;
palmprint recognition ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193382
Abstract: Information systems in organizations traditionally require users to remember their secret pins or (passwords), token, card number, or both to confirm their identities. However, the technological trend has been moving towards personal identification based on…
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Keywords:
palmprint;
contactless palmprint;
palmprint recognition;
recognition system ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3577623
Abstract: Palmprint recognition is critical for high-security applications, such as access control and forensic investigations, due to its rich information content and resistance to forgery. However, extracting reliable features from low-quality palmprints, common in real-world scenarios…
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Keywords:
field based;
optical diffraction;
recognition;
palmprint recognition ... See more keywords
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Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3103941
Abstract: Robustness enhancement and feature selection are the two crucial issues to be resolved in robust palmprint recognition. However, existing regression-based methods are insufficient to handle outliers and select significant features. From a statistical viewpoint, we…
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Keywords:
error model;
robust palmprint;
group;
palmprint recognition ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3327012
Abstract: Palmprint recognition has seen significant advancements and garnered considerable attention recently. However, deep learning methods have yet to effectively incorporate insights from traditional approaches to extract palmprint-specific features. Moreover, intra-class spatial variation problems, which degrade…
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Keywords:
recognition;
palmprint recognition;
gabor convolution;
aligned multilevel ... See more keywords
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Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3371257
Abstract: Cross-dataset palmprint recognition promotes the convenience and flexibility of palmprint recognition. However, most of the current cross-dataset palmprint recognition methods need to collect the target dataset in advance for model training. They tend to overfit…
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Keywords:
palmprint recognition;
palmprint;
dataset palmprint;
cross dataset ... See more keywords
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Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3413631
Abstract: Contactless palmprints are comprised of both global and local discriminative features. Most prior work focuses on extracting global features or local features alone for palmprint matching, whereas this research introduces a novel framework that combines…
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Keywords:
recognition;
palmprint recognition;
contactless palmprint;
mobile contactless ... See more keywords
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Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3441945
Abstract: Palmprint recognition has shown great value for biometric recognition due to its advantages of good hygiene, semi-privacy and low invasiveness. However, most existing palmprint recognition studies focus only on homogeneous palmprint recognition, where comparing palmprint…
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Keywords:
palmprint recognition;
heterogeneous palmprint;
feature;
palmprint ... See more keywords
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Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3497805
Abstract: Three significant challenges have been limiting the stable palmprint recognition via mobile devices: 1) rotations and unconsensus scales of the unconstrait hand; 2) noises generated in the open imaging environments; and 3) low quality images…
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Keywords:
recognition;
palmprint recognition;
multi view;
palmprint ... See more keywords