Efficient Image Recognition Technique Using Invariant Moments and Principle Component Analysis

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Journal of Data Analysis and Information Processing

ISSN Print: 2327-7211
ISSN Online: 2327-7203
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"Efficient Image Recognition Technique Using Invariant Moments and Principle Component Analysis"
written by Mohammad Arafah, Qusay Abu Moghli,
published by Journal of Data Analysis and Information Processing, Vol.5 No.1, 2017

has been cited by the following article(s):

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[1]	Image Processing in Contact Endurance Research Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2, 2021 DOI:10.20948/graphicon-2021-3027-891-895

[2]	Reducing the Estimation Error of the Measure of Proximity Between Objects in Pattern Recognition 2021 International Conference Automatics and Informatics (ICAI), 2021 DOI:10.1109/ICAI52893.2021.9639548

[3]	Application of a PCA-ANN Based Cost Prediction Model for General Aviation Aircraft IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3008442

[4]	Application Of Inertia Moments For Improving The Quality Of Dimensional Control In Flexible Production 2020 International Conference Automatics and Informatics (ICAI), 2020 DOI:10.1109/ICAI50593.2020.9311303

[5]	An Improved Algorithm for Pseduo-Jacobi-Fourier Moments Optics and Photonics Journal, 2017 DOI:10.4236/opj.2017.78B009

[6]	Digital description and recognition of pollen granules with invariant moments 2017 2nd International Conference on Image, Vision and Computing (ICIVC), 2017 DOI:10.1109/ICIVC.2017.7984559

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