An ensemble of fingerprint matching algorithms based on cylinder codes and mtriplets for latent fingerprint identification
Author:
Funder
Consejo Nacional de Ciencia y Tecnología
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s10044-020-00911-7.pdf
Reference38 articles.
1. Cao K, Jain AK (2019) Automated latent fingerprint recognition. IEEE Trans Pattern Anal Mach Intell 41(4):788–800
2. Cao K, Jain AK (2019) Latent fingerprint recognition: role of texture template. In: 9th International conference on biometrics theory, applications and systems (BTAS). IEEE, pp 1–9
3. Cao K, Nguyen DL, Tymoszek C, Jain AK (2020) End-to-end latent fingerprint search. IEEE Trans Inf Forensics Secur 15:880–894
4. Cao K, Yang X, Tian J, Zhang Y, Li P, Tao X (2009) Fingerprint matching based on neighboring information and penalized logistic regression. In: International conference on biometrics. Springer, pp 617–626
5. Cappelli R, Ferrara M, Maltoni D (2010) Minutia cylinder-code: a new representation and matching technique for fingerprint recognition. IEEE Trans Pattern Anal Mach Intell 32(12):2128–2141
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