R. Vyas, B. Williams, H. Rahmani, R. Boswell-Challand, Z. Jiang, P. Angelov, S. Black, “Demonstrable and Anatomy-driven Knuckle Identification via Crease Map Segmentation”, Signal, Image and Video Processing, 19, 318, 2025. Doi: 10.1007/s11760-025-03940-z (link).
R. Vyas, M. Nappi, A. del Bimbo, S. Bakshi, “Introduction to Special Issue on Recent trends in Multimedia Forensics”, ACM Transactions on Multimedia Computing, Communications and Applications, 2024. Doi: 10.1145/3678473 (link).
N. Sharma, M. Sharma, A. Singhal, R. Vyas, H. Malik, M.A. Hossaini, and A. Afthanorhan, “An Efficient Approach for Recognition of Motor Imagery EEG Signals using the Fourier Decomposition Method”, IEEE Access, 1-10, 2023. Doi: 10.1109/ACCESS.2023.3328618 (link).
Z. Jiang, H. Rahmani, P. Angelov, R. Vyas, H. Zhou, S. Black, B. Williams, "Deep orientated distance-transform network for geometric-aware centerline detection", Pattern Recognition, 146, 110028, 2024. doi: 10.1016/j.patcog.2023.110028 (link).
P. Dubey, T. Kanumuri, R. Vyas, and P. K. Jain, “Anisotropic Differential concavity codes for Palmprint Representation”, Multimedia Tools and Applications, 1-15, 2023. doi: 10.1007/s11042-023-16690-2 (link).
P. Dubey, T. Kanumuri, R. Vyas, K.V.S.R. Murthy, C.K. Choubey, and D. Nandan, “Palmprint representation through combined differential concavity and infirmity codes”, Traitment du Signal, 40(4), 1739-1745, 2023. doi: 10.18280/ts.400443 (link).
N. Sharma, M. Sharma, A. Singhal, R. Vyas, H. Malik, A. Afthanorhan, and M.A. Hossaini, “Recent trends in EEG based Motor Imagery Signal Analysis and Recognition: A comprehensive review”, IEEE Access, 11, 80518-80542, 2023. Doi: 10.1109/ACCESS.2023.3299497 (link).
N. Bala, A. Kumar, R. Gupta, and R. Vyas, “Holistic Knuckle Recognition through Adept Texture Representation”, International Journal of Computational Vision and Robotics, 15 (1), 1-18, 2025. Doi: 10.1504/IJCVR.2025.142919 (link).
R. Vyas, B. M. Williams, H. Rahmani, R. Boswell-Challand, Z. Jiang, P. Angelov, and S. Black, "Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization," Sensors, 22(4), 1569, 2022. doi: 10.3390/s22041569 (link).
R. Vyas, “Enhanced near-infrared periocular recognition through collaborative rendering of hand crafted and deep features", Multimedia Tools and Applications, 81, 9351-9365, 2022. doi: 10.1007/s11042-021-11846-4 (link).
P. Dubey, T. Kanumuri, and R. Vyas, “Optimal Directional Texture Codes using Multiscale Bit Crossover Count Planes for Palmprint Recognition”, Multimedia Tools and Applications, 81, 20291-20310, 2022. doi: 10.1007/s11042-022-12580-1 (link).
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Accurate feature extraction for multimodal biometrics combining iris and palmprint", Journal of Ambient Intelligence and Humanized Computing, 13, 5581-5589, 2021. doi: 10.1007/s12652-021-03190-0 (link).
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Smartphone based iris recognition through optimized textural representation", Multimedia Tools and Applications, 79 (19), 14127-14146, 2020. doi: 10.1007/s11042-019-08598-7 (link).
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Efficient iris recognition through curvelet transform and polynomial fitting”, Optik, 185, 859-867, 2019. doi: 10.1016/j.ijleo.2019.04.015. (link)
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Efficient features for smartphone-based iris recognition”, Turkish Journal of Electrical Engineering and Computer Sciences., 27(3), 1589-1602, 2019. doi: 10.3906/elk-1809-98. (link)
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Recent trends of ROI segmentation in iris biometrics: a survey”, International Journal of Biometrics., 11(3), 274-307, 2019. doi: 10.1504/IJBM.2019.10021539. (link)
R. Vyas, T. Kanumuri, and G. Sheoran, “Cross spectral iris recognition for surveillance based applications”, Multimedia Tools and Applications., 78(5), 5681-5699, 2018. doi: 10.1007/s11042-018-5689-y. (link)
V. Kumari, G. Sheoran, T. Kanumuri, R. Vyas, and S.A. Rao, “Development and analysis of anatomically real breast phantoms using different dispersion models”, Journal of Electronic Imaging, 27(5), 051208, doi: 10.1117/1.JEI.27.5.051208 (link).
P. Dubey, T. Kanumuri, and R. Vyas, “Sequency codes for palmprint recognition”, Signal, Image and Video Processing, 12(4), 677-684, 2017. doi: 10.1007/s11760-017-1207-3 (link).
1. V. Pujara, O. Patel, R. Vyas, "Harnessing Generative Adversarial Models to Enhance Satellite Imagery Quality", IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA), 2025, pp. 1-6, doi: 10.1109/MPSecICETA64837.2025.11118662 (link).
2. A. Mathur, S. Joshi, R. Vyas, “Segmentation of Palmprint Regions from Diversified Hand Videos”, 10th International Conference on Electronics, Computing and Communication Technologies, IEEE CONECCT, 2024, pp. 1-5, doi: 10.1109/CONECCT62155.2024.10677138 (link).
3. R. Vyas, H. Rahmani, R. Boswell-Challand, P. Angelov, S. Black and B. M. Williams, "Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition," 2021 IEEE International Joint Conference on Biometrics (IJCB), 2021, pp. 1-8, doi: 10.1109/IJCB52358.2021.9484356 (link).
4. K. C. Kumar, A. Lala, R. Vyas and M. Sharma, “Periocular recognition via effective textural descriptor”, 7th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2020, pp. 1-6. doi: 10.1109/UPCON50219.2020.9376575 (link).
5. M Vitek, A Das, Y Pourcenoux, A Missler, C Paumier, S Das, I De Ghosh, DR Lucio, LA Zanlorensi, D Menotti, F Boutros, N Damer, JH Grebe, A Kuijper, J Hu, Y He, C Wang, H Liu, Y Wang, Z Sun, D Osorio-Roig, C Rathgeb, C Busch, J Tapia, A Valenzuela, G Zampoukis, L Tsochatzidis, I Pratikakis, S Nathan, R Suganya, V Mehta, A Dhall, K Raja, G Gupta, JN Khiarak, M Akbari-Shahper, F Jaryani, M Asgari-Chenaghlu, R Vyas, S Dakshit, P Peer, U Pal, V Štruc, "SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment", IEEE International Joint Conference on Biometrics (IJCB), 2020, pp. 1-10, doi: 10.1109/IJCB48548.2020.9304881 (link).
6. R. Vyas, “Towards adept hand-crafted features for ocular biometrics”, in 8th International Workshop on Biometrics and Forensics (IWBF), IEEE, 2020, pp. 1-6. doi: 10.1109/IWBF49977.2020.9107952 (link).
7. P. Dybey, T. Kanumuri, S. K. Saraswat, and R. Vyas, “Principal valued complex spectrum energy ensembles for palmprint representation”, in 4th International Conference on Information Systems and Computer Networks (ISCON), 2019, pp. 542-545. doi: 10.1109/ISCON47742.2019.9036181 (link)
8. R. Vyas, T. Kanumuri, G. Sheoran, and V. Kumari, “Local pattern-based descriptors for iris recognition: A comparative analysis”, in 13th IEEE International Conference on Industrial and Information Systems (ICIIS), 2018, pp. 36-41. doi: 10.1109/ICIINFS.2018.8721368 (link).
9. P. Dybey, T. Kanumuri, and R. Vyas, “Relative statistical ensembles of curved Gabor wavelets for palmprint verification”, in 13th IEEE International Conference on Industrial and Information Systems (ICIIS), 2018, pp. 54-59. doi: 10.1109/ICIINFS.2018.8721390 (link).
10. R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Co-occurrence features and neural network classification approach for iris recognition”, in IEEE 2017 Fourth International Conference on Image Information Processing (ICIIP), 2017, pp. 1-6. doi: 10.1109/ICIIP.2017.8313730 (link).
11. R. Vyas, T. Kanumuri, and G. Sheoran, “Non-parametric iris localization using pupil’s uniform intensities and adaptive masking”, in 2017 14th IEEE India Council International Conference (INDICON), 2017, pp. 1-4. doi: doi: 10.1109/INDICON.2017.8488135 (link).
12. P. Dubey, T. Kanumuri, and R. Vyas, “Palmprint Recognition using Binary Wavelet Transform and LBP representation”, in IEEE 2017 International Conference on Recent Innovations in Signal processing and Embedded systems (RISE), pp. 201-205. doi: 10.1109/RISE.2017.8378154 (link).
13. R. Vyas, T. Kanumuri, and G. Sheoran, “Iris Recognition using 2-D Gabor Filter and XOR-SUM Code”, in IEEE India International Conference on Image Processing (IICIP-2016), pp. 1-5. doi: 10.1109/IICIP.2016.7975369 (link).
D. Savsani, R. Vyas*, "Towards Realistic Synthetic Palmprint Data: A Smartphone Video Dataset with Diverse Variations", In Proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG), Communications in Computer and Information Science, vol 2684, B.N. Subudhi, R.K. Rout, B.S. Sengar, Eds., Springer, Cham, 2026. pp. 46-59. ISBN: 978-3-032-08508-5. Doi: 10.1007/978-3-032-08508-5_4 (link).
Y. Patel, A. Patel, B. Patel, R. Vyas*, “Hand Dorsal Vein Segmentation Through Thermal Camera Acquisition”, In Proceedings of 27th International Conference on Pattern Recognition (ICPR), Lecture Notes in Computer Science, vol 15619, S. Palaiahnakote, S. Schuckers, J-M. Ogier, P. Bhattacharya, U. Pal, S. Bhattacharya, Eds., Springer Nature Switzerland AG 2025. pp. 1-10. ISBN: 978-3-031-88223-4. Doi: 10.1007/978-3-031-88223-4_10 (link).
R. Vyas, A. Kumar, “A Collaborative Approach Using Ridge-Valley Minutiae for More Accurate Contactless Fingerprint Matching”, In Proceedings of 27th International Conference on Pattern Recognition (ICPR), Lecture Notes in Computer Science, vol 15328, A. Antonacopoulos, S. Chaudhuri, R. Chellappa, CL. Liu, S. Bhattacharya, U. Pal, Eds., Springer, Cham, 2025. Pp. 273-287. ISBN: 978-3-031-78104-9. Doi: 10.1007/978-3-031-78104-9_19 (link).
H. Patel, S. Kumar, A. Mathur, S. Satapathy, R. Vyas*, "Deep Learning Driven Palmprint Recognition Using Smartphone-Based Video Dataset", In Proceedings of Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2024). Lecture Notes in Networks and Systems, vol. 1117, S. Roy, D. Sinwar, N. Dey, T. Perumal, J. M. R. S. Tavares, Eds., Springer, 2024. Pp. 331-341. ISBN: 978-981-97-6991-9. Doi: 10.1007/978-981-97-6995-7_25 (link).
D. Kasundra, S. Chudasma, V. Kala, R. Vyas*, “Toward the Localization of Palm-Vein Regions from Hand Dorsal Images”, In Proceedings of International Conference on Signal, Machines, Automation, and Algorithm (SIGMAA). Advances in Intelligent Systems and Computing, vol. 1461, H. Malik, S. Mishra, Y.R. Sood, F. Marquez, T.S. Utsun et al. Eds., Springer, 2024, pp. 449-467. ISBN: 978-981-97-6351-1. Doi: 10.1007/978-981-97-6352-8_32 (link).
S. Chudasma, D. Kasundra, K. Saruparia, V. Kala, R. Vyas*, “Terrainfier: A transfer learning approach for terrain recognition”, In Proceedings of International Conference on Computational Modeling and Sustainable Energy (ICCMSE). Innovations in Sustainable Technologies and Computing, B. K. Jha, N. Jha, J. Brahma, M. Yavuz, Eds., Springer, 2024. ISBN: 978-981-97-6793-9. doi: 10.1007/978-981-97-6794-6_52 (link).
C. Chodvadiya, K.G. Singh, R. Vyas*, "Detection of Palmprint from Contactless Smartphone-Based Video Hand Dataset", In Proceedings of 8th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-2023), Lecture Notes in Electrical Engineering, vol. 1218, S. Chaudhury, A. Mishra, A. M. Namboodiri, D. B. Jayagopi, N. Sinha, R. Nagar, Eds., Springer, 2024. doi: 10.1007/978-981-97-5212-6_13 (link).
S. Sidabache, K. Pandya, T. Sabugar, R. Vyas*, "Improved localization of knuckle regions for contactless acquisition", In Proceedings of 8th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-2023), Lecture Notes in Electrical Engineering, vol. 1218, S. Chaudhury, A. Mishra, A. M. Namboodiri, D. B. Jayagopi, N. Sinha, R. Nagar, Eds., Springer, 2024. doi: 10.1007/978-981-97-5212-6_14 (link).
A. Lala, K.C. Kumar, R. Vyas*, M. Sharma, "Improved Periocular Recognition Through Blend of Handcrafted and Deep Features", In Proceedings of 6th International Conference on Computer Vision & Image Processing. Communications in Computer and Information Science, vol 1567., B. Raman, S. Murala, A. Chowdhury, A. Dhall, P. Goyal, Eds. Springer, Cham, 2022, pp. 387-397. doi: 10.1007/978-3-031-11346-8_34 (link)
N. Bala, R. Vyas*, R. Gupta, and A. Kumar, “Iris recognition using improved Xor-Sum Code”, in Proceedings of The International Conference on Security & Privacy (ICSP). Lecture Notes in Electrical Engineering, vol 744., P. Stanica, S. Gangopadhyay, and S. Debnath, Eds. Springer, Singapore, 2021, pp. 107-117. doi: 10.1007/978-981-33-6781-4_9 (link).
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Towards ocular recognition through local image descriptors”, in Proceedings of 4th International Conference on Computer Vision & Image Processing. Communications in Computer and Information Science, vol 1147., N. Nain, S. Vipparthi, and B. Raman, Eds. Springer, Singapore, 2019, pp. 3-12. doi: 10.1007/978-981-15-4015-8_1 (link).
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “On fusion of NIR and VW information for cross-spectral iris matching”, in in Machine Learning Algorithms and Applications, M. Srinivas, G. Sucharitha and A. Matta, Eds. Wiley-Scrivener Publishing LLC, Beverly, MA, ISBN : 9781119768852, 2021, pp. 175-191. doi: 10.1002/9781119769262.ch10 (link).
R. Vyas, T. Kanumuri, G. Sheoran, and P. Dubey, “Iris recognition through score-level fusion”, in Proceedings of 2nd International Conference on Computer Vision & Image Processing. Advances in Intelligent Systems and Computing, vol 703., B. B. Chaudhuri, M. S. Kankanhalli, and B. Raman, Eds. Springer, Singapore, 2018, pp. 25-35. doi: 10.1007/978-981-10-7895-8_3 (link).
R. Vyas, T. Kanumuri, and G. Sheoran, “An Approach for Iris Segmentation in Constrained Environments”, in Nature Inspired Computing (Proceedings of CSI 2015), Advances in Intelligent Systems and Computing, vol 652, 1st ed., B. K. Panigrahi, M. N. Hoda, V. Sharma, and S. Goel, Eds. Springer Singapore, 2018, pp. 99-107. doi: 10.1007/978-981-10-6747-1_12 (link).
1. M. Vitek, D. Toma sevic, A. Das, S. Nathan, G. Ozbulak, G. A. T. Ozbulak, J. P. Calbimonte, A. Anjos, H. H. Bhatt, D. D. Premani, J. Chaudhari, C. Wang, J. Jiang, C. Zhang, Q. Zhang, I. I. Ganapathi, S. S. Ali, D. Velayudan, M. Assefa, N. Werghi, Z. A. Daniels, L. John, R. Vyas, J. N. Khiarak, T. A. Saeed, M. Nasehi, A. Kianfar, M. P. Panahi, G. Sharma, P. R. Panth, R. Ramachandra, A. Nigam, U. Pal, P. Peer, V. Struc, "Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025", arXiv: 2508.10737 (link).
2. R. Vyas, A. Kumar, “A Collaborative Approach using Ridge-Valley Minutiae for More Accurate Contactless Fingerprint Identification”, arXiv:1909.06045v2 (link).
1. S. Joshi, A. Mathur,R. Vyas, "Palm Print Biometrics Using Smart Phone Based Video Dataset", IGNITE: PhD Symposium and poster presentation, IEEE SPS GS, PDEU, 2024 (link).
2. R. Vyas, B. M. Williams, H. Rahmani, R. Boswell-Challand, Z. Jiang, P. Angelov, and S. Black "Ensemble-based localization and multi-unit identification of finger knuckles", Lancaster University Science Week, 2022 (link)
3. R. Vyas, "Advances in Iris Segmentation and Iris Features: An Exploration Study", 10th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2019 (link).