The MASDUM dataset (to be publicized soon)
The MASDUM dataset (to be publicized soon)
Captured using 13MP camera with two mobile handsets (Yunicorn 5530 and Samsung J5).
Macro lens is used to get clear images with good focus on sclera area.
Captured indoor with artificial tube light and outdoor in day light.
Unrestricted imaging conditions produces noisy images.
Sclera ground-truth mark-up is available all images.
Sclera-vessel mark-up is available for few images.
Geo. Origin: Ethno linguistic group
Number of volunteers : 48
Number of eyes: 96
Male volunteers: 19
Female volunteers: 29
No. of images: 1055
Range of age: 4 to 68
Resolution: 700 x 1500
The dataset is available free of cost for research purpose.
A request for authorization is required for obtaining the dataset.
Certain terms and conditions are are laid therein.
Please sign and send to email [to be disclosed soon].
Due to some official formalities, the dataset shall be publicized shortly.
Scanned from printed colour images in glossy paper
Captured from Full HD IPS display mobile screen.
Captured from high resolution LED monitor.
Print & Scan = 136 images.
Mobile display = 236 images.
Monitor display = 236 images.
Total 608 spoofed images.
Filenames of real and fake images are kept same to track the original image corresponding to the fake images.
The dataset is available free of cost for research purpose.
A request of authorization is required for obtaining the dataset.
Certain terms and conditions are laid therein.
Please sign and send to email [to be disclosed soon].
Due to some official formalities, the dataset shall be publicized shortly.
Sumanta Das, Ishita De Ghosh, and Abir Chattopadhyay. “Sclera biometrics in restricted and unrestricted environment with cross dataset evaluation”. In: Displays 74 (2022). Article No. 102257. ISSN: 0141-9382. DOI: 10.1016/j.displa.2022.102257.
Sumanta Das, Ishita De Ghosh, and Abir Chattopadhyay. “An Efficient Deep Learning Strategy: Its Application in Sclera Segmentation”. In: 2020 IEEE Applied Signal Processing Conference ASPCON. Kolkata, India, 2020, pp. 232–236.
Sumanta Das, Ishita De Ghosh, and Abir Chattopadhyay. “An Efficient Deep Sclera Recognition Framework with Novel Sclera Segmentation, Vessel Extraction and Gaze Detection”. In: Signal Processing:Image Communication 97 (2021). Article No. 116349. DOI: 10.1016/j.image.2021.116349.
Sumanta Das, Ishita De Ghosh, and Abir Chattopadhyay. Deep age estimation using sclera images in multiple environment. In Brijesh Iyer, Debashis Ghosh, and Valentina Emilia Balas, editors, Proceedings of ICCET 2021, DBATU, Lonere, Maharashtra, in Applied Information Processing Systems, pages 93–102, Singapore, 2022. Springer Singapore.
Sumanta Das, Ishita De Ghosh, and Abir Chattopadhyay. An investigation into automated age estimation using sclera images: a novel modality. Int. Journal of Computational Vision and Robotics, Inderscience, 2022. doi.10.1504/IJCVR.2022.10049572.
Sumanta Das, Ishita De Ghosh, and Abir Chattopadhyay. “A liveness detection system for sclera biometric applications”. In: Int. J. of Biometrics, Inderscience (2022).
M. Vitek, A. Das, Y. Pourcenoux, A. Missler, C. Paumier, Sumanta Das, Ishita De Ghosh, et al. Ssbc 2020: Sclera segmentation benchmarking competition in the mobile environment. In International Joint Conference on Biometrics (IJCB 2020), Houston, TX, USA, September 2020. IEEE. https://doi.org/10.1109/IJCB48548.2020.9304881.
To be publicized soon after few official formalities. We are trying our best to share the dataset at the earliest.