Fingerprint recognition system based on modified multi-connect architecture (MMCA)-Reference-Cited by-同舟云学术

Fingerprint recognition system based on modified multi-connect architecture (MMCA)

Published:2019-12 Issue: Volume:58 Page:107-113
ISSN:1389-0417
Container-title:Cognitive Systems Research
language:en
Short-container-title:Cognitive Systems Research

Author:

Almajmaie LaythKamil,Ucan Osman N.,Bayat Oguz

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software

Reference17 articles.

1. An enhancement algorithm using gabor filter;Azzoubi;Journal of Theoretical and Applied Information Technology,2015

2. Universal 3D wearable fingerprint targets: Advancing fingerprint reader evaluations;Engelsma;IEEE Transactions on Information Forensics and Security,2018

3. Fingerprint recognition by combining global structure and local cues;Gu;IEEE Transactions on Image Processing,2006

4. Hasan, R. H., Kareem, E. A. (2017). Modify Multi-Connect Architecture (MMCA) associative memory. In: Conference of the Mathematics and Computer Departments, Al Mustansiriyah University, Vol 2.

5. Hasan, R. H. (2016). Optical mark reader based on modified multi-connect architecture MMCA. M.Sc. Thesis, Al Mustansiriyah University.

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A high precision recognition method for small area fingerprints based on machine vision;International Journal of Data Mining and Bioinformatics;2024

2. A Comprehensive Review of Unimodal and Multimodal Fingerprint Biometric Authentication Systems: Fusion, Attacks, and Template Protection;IEEE Access;2024

3. Biogeography Based Optimized Hybrid Chebyshev FLANN for Fingerprint Classification;2023 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS);2023-09-01

4. Automatic Attendance Management System using Face Recognition;International Journal of Advanced Research in Science, Communication and Technology;2023-03-27

5. Finger Vein Recognition Based on Multi-Features Fusion;Traitement du Signal;2023-02-28