Fast and Robust Local Texture Information for Fingerprint Segmentation

Author:

Nguyen Binh T. H.,Bui Ngoc DungORCID,Hoang Xuan TungORCID

Publisher

Springer Nature Singapore

Reference17 articles.

1. Babatunde, I.G., Kayode, A.B., Charles, A.O., Olatubosun, O.: Fingerprint image enhancement: segmentation to thinning. (IJACSA) Int. J. Adv. Comput. Sci. Appl. 3(1), 15–24 (2012)

2. Jomaa, D., Dougherty, M., Fleyeh, H.: Segmentation of low quality fingerprint images. In: 2010 International Conference on Multimedia Computing and Information Technology (MCIT) (2010)

3. Bana, S., Kaur, D.D.: Fingerprint recognition using image segmentation. Int. J. Adv. Eng. Sci. Technol. 5(1), 012–023 (2011)

4. Msiza, I.S., Mathekga, M.E., Nelwamondo, F.V., Marwala, T.: Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method. Int. J. Innov. Comput. Inf. Control (IJICIC) 7(9), 5313–5326 (2011)

5. Wan, G.C., Li, M.M., Xu, H., Kang, W.H., Rui, J.W., Tong, M.S.: XFinger-Net: pixel-wise segmentation method for partially defective fingerprint based on attention gates and U-net. Sensor 20(16), 4473 (2020)

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