A study of automatic separation and recognition for overlapped fingerprints-Reference-Cited by-同舟云学术

A study of automatic separation and recognition for overlapped fingerprints

Published:2018-10 Issue: Volume:71 Page:127-140
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Huang Hsieh-Chang,Hsieh Ching-Tang,Hsiao Min-Nan,Yeh Cheng-Hsiang

Publisher

Elsevier BV

Subject

Software

Reference32 articles.

1. Latent fingerprint enhancement via multi-scale patch based sparse representation;Liu;IEEE Trans. Inf. Forensics Secur.,2015

2. Automatic segmentation of latent fingerprints;Choi;2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS),2012

3. Separation of overlapped fingerprints for forensic applications;Vanitha;IJAREEIE,2014

4. Fast and accurate fingerprint indexing based on ridge orientation and frequency;Cappelli;IEEE Trans. Syst. Man. Cybern. B Cybern.,2011

5. Fingerprint orientation field estimation algorithm based on optimized neighborhood averaging;Kekre;IEEE Icetet,1899

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1. Machine Learning Based Optical Separation of Overlapping Handprints;Applied Mathematics and Nonlinear Sciences;2023-12-26

2. Multimodal biometric identification based on overlapped fingerprints, palm prints, and finger knuckles using BM-KMA and CS-RBFNN techniques in forensic applications;The Visual Computer;2023-08-12

3. A Systematic Review of Fingerprint Recognition System Development;International Journal of Software Science and Computational Intelligence;2022-05-20

4. The admissibility of fingerprint evidence: An African perspective;Canadian Society of Forensic Science Journal;2022-05-01

5. Image offset density distribution model and recognition of hand knuckle;EURASIP Journal on Image and Video Processing;2019-01-28