TransFCN: A Novel One-Stage High-Resolution Fingerprint Representation Method
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8469-5_2
Reference22 articles.
1. Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S., et al.: Handbook of Fingerprint Recognition, vol. 2. Springer, London (2009). https://doi.org/10.1007/978-1-84882-254-2
2. Jain, A., Chen, Y., Demirkus, M.: Pores and ridges: fingerprint matching using level 3 features. In: 18th International Conference on Pattern Recognition (ICPR 2006), vol. 4, pp. 477–480. IEEE (2006)
3. Zhao, Q., Zhang, D., Zhang, L., Luo, N.: Adaptive fingerprint pore modeling and extraction. Pattern Recogn. 43(8), 2833–2844 (2010)
4. Jang, H.U., Kim, D., Mun, S.M., Choi, S., Lee, H.K.: Deeppore: fingerprint pore extraction using deep convolutional neural networks. IEEE Signal Process. Lett. 24(12), 1808–1812 (2017)
5. Labati, R.D., Genovese, A., Munoz, E., Piuri, V., Scotti, F.: A novel pore extraction method for heterogeneous fingerprint images using convolutional neural networks. Pattern Recogn. Lett. 113, 58–66 (2018)
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