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Research

Dr Ritesh Vyas

Formerly at Lancaster University

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  1. 2022
  2. Published

    Accurate feature extraction for multimodal biometrics combining iris and palmprint

    Vyas, R., Kanumuri, T., Sheoran, G. & Dubey, P., 31/12/2022, In: Journal of Ambient Intelligence and Humanized Computing. 13, p. 5581-5589 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Enhanced near-infrared periocular recognition through collaborative rendering of hand crafted and deep features

    Vyas, R., 31/03/2022, In: Multimedia Tools and Applications. 81, 7, p. 9351–9365 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization

    Vyas, R., Williams, B. M., Rahmani, H., Boswell-Challand, R., Jiang, Z., Angelov, P. & Black, S., 17/02/2022, In: Sensors. 22, 4, 18 p., 1569.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. 2021
  6. Published

    Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition

    Vyas, R., Rahmani, H., Boswell-Challand, R., Angelov, P., Black, S. & Williams, B., 4/08/2021, International Joint Conference on Biometrics (IJCB-2021). Shenzhen, China: IEEE, p. 1-8 8 p. 9484356. (2021 IEEE International Joint Conference on Biometrics, IJCB 2021).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    Iris Recognition Using Improved Xor-Sum Code

    Bala, N., Vyas, R., Gupta, R. & Kumar, A., 2/04/2021, Security and Privacy: Select Proceedings of ICSP 2020. Stănică, P., Gangopadhyay, S. & Debnath, S. K. (eds.). Singapore: Springer, p. 107-117 11 p. (Lecture Notes in Electrical Engineering; vol. 744).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning

    Baisa, N. L., Jiang, Z., Vyas, R., Williams, B., Rahmani, H., Angelov, P. & Black, S., 13/01/2021, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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