Automatic latent fingerprint identification system using scale and rotation invariant minutiae features-Reference-Cited by-同舟云学术

Automatic latent fingerprint identification system using scale and rotation invariant minutiae features

Published:2020-08-17 Issue: Volume: Page:
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Deshpande Uttam U.^ORCID,Malemath V. S.,Patil Shivanand M.,Chaugule Sushma V.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-020-00508-7.pdf

Reference29 articles.

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2. Jain AK, Feng J (2011) Latent fingerprint matching. IEEE Trans Pattern Anal Mach Intell 33(1):88–100

3. Sankaran A, Dhamecha TI, Vatsa M, Singh R (2011) On matching latent to latent fingerprints, In Proceedings of the International Joint Conference on Biometrics, pp. 1–6.

4. Paulino AA, Feng J, Jain AK (2011) Latent fingerprint matching using descriptor-based Hough Transform, in 2011 International Joint Conference on Biometrics (IJCB), Washington, DC, USA, pp. 1–7.

5. Medina-Pérez MA, Moren AM, Ballester MÁF, García M (2016) Latent fingerprint identification using deformable minutiae clustering. Neurocomputing 175:851–865

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