Feature extraction, recognition, and matching of damaged fingerprint: Application of deep learning network-Reference-Cited by-同舟云学术

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Feature extraction, recognition, and matching of damaged fingerprint: Application of deep learning network

Published:2020-10-18 Issue:6 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Li Hongbin¹^ORCID

Affiliation:

1. Taiyuan Normal University Taiyuan China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6057

Reference15 articles.

1. A fingerprint segmentation technique based on morphological processing;Fahmy MF;IEEE Int Symp Signal Process Inform Dent Tech,2015

2. Commentary on:Alberink I, de Jongh A, Rodriguez C. Fingermark evidence evaluation based on automated fingerprint identification system matching scores: the effect of different types of conditioning on likelihood ratios. J Forensic Sci 2014; 59(1):70-81.

3. Hough transform‐based technique for fingerprint alteration detection and classification;Anoop TR;Int J Biomet,2015

4. Fingerprint reference point identification based on chain encoded discrete curvature and bending energy;Zacharias GC;Pattern Anal Appl,2016

5. Tetrahedron based fast 3D fingerprint identification using colored LEDs illumination;Lin C;IEEE Trans Pattern Anal Mach Intell,2017

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1. Constructing fingerprint sweat pore database based on donor–acceptor luminescent materials for personal identification;Chemical Engineering Journal;2024-10

2. Loss of fingerprint features and recognition failure due to physiological factors- a literature survey;Multimedia Tools and Applications;2024-07-19

3. Highly crystallization-induced emissive luminophores with mechanoluminescent features for two-photon harvesting fluorescence imaging and latent fingerprint identification;Nano Research;2024-04-13

4. Local feature matching from detector-based to detector-free: a survey;Applied Intelligence;2024-03

5. Fingerprint Recognition in Forensic Scenarios;Sensors;2024-01-20

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