GAN-enable latent fingerprint enhancement model for human identification system-Reference-Cited by-同舟云学术

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GAN-enable latent fingerprint enhancement model for human identification system

Published:2023-08-22 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Shreya Shashi,Chatterjee Kakali

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16510-7.pdf

Reference25 articles.

1. Cao K, Liu E, Jain AK (2014) Segmentation and enhancement of latent fingerprints: A coarse to fine ridgestructure dictionary. IEEE Trans Pattern Anal Mach Intell 36(9):1847–1859. https://doi.org/10.1109/TPAMI.2014.2302450

2. Cao K, Nguyen D-L, Tymoszek C (2020) Jain AK End-to-end latent fingerprint search. IEEE Transactions on Information Forensics and Security 15:880–894. https://doi.org/10.1109/TIFS.2019.2930487

3. Cao K, Jain AK (2015) Latent orientation field estimation via convolutional neural network, in: 2015 International Conference on Biometrics (ICB), p 349–356. https://doi.org/10.1109/ICB.2015.7139060

4. Chikkerur S, Govindaraju V, Cartwright AN (2005) Fingerprint image enhancement using stft analysis. Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR, Proceedings, Part II 3. Bath, UK, pp 20–29

5. Feng J, Zhou J (2013) Jain AK Orientation field estimation for latent fingerprint enhancement. IEEE Trans Pattern Anal Mach Intell 35(4):925–940. https://doi.org/10.1109/TPAMI.2012.155

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1. Fingerprint Restoration and Identification using Pix2Pix cGAN and Triplet Loss;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

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