Pattern recognition is a scientific approach for categorizing objects to class or subject numbers. These subjects need to be classified based on their applications (can be image, signal or any other type of measurements). Occupation, automation, military information, communication, industry and commercial applications and many other fields can benefit from Pattern recognition approaches. Perhaps, one the most important reasons that lead to pattern recognition prominent place in today's research studies, is the role of image auto-classifications. In this research, we investigate recent literatures about image auto-classification and image processing to identify patterns.
| Published in |
International Journal of Intelligent Information Systems (Volume 3, Issue 6-1)
This article belongs to the Special Issue Research and Practices in Information Systems and Technologies in Developing Countries |
| DOI | 10.11648/j.ijiis.s.2014030601.25 |
| Page(s) | 80-83 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Pattern Recognition, Images Auto-Classification, Image Processing, Support Vector Machine
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APA Style
Mohammad Hadi Yousofi, Habib Yousofi, Sayyed Amir Mohammad Razavi. (2014). Utilizing Automatic Recognition and Classification of Images for Pattern Recognition. International Journal of Intelligent Information Systems, 3(6-1), 80-83. https://doi.org/10.11648/j.ijiis.s.2014030601.25
ACS Style
Mohammad Hadi Yousofi; Habib Yousofi; Sayyed Amir Mohammad Razavi. Utilizing Automatic Recognition and Classification of Images for Pattern Recognition. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 80-83. doi: 10.11648/j.ijiis.s.2014030601.25
AMA Style
Mohammad Hadi Yousofi, Habib Yousofi, Sayyed Amir Mohammad Razavi. Utilizing Automatic Recognition and Classification of Images for Pattern Recognition. Int J Intell Inf Syst. 2014;3(6-1):80-83. doi: 10.11648/j.ijiis.s.2014030601.25
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Download@article{10.11648/j.ijiis.s.2014030601.25,
author = {Mohammad Hadi Yousofi and Habib Yousofi and Sayyed Amir Mohammad Razavi},
title = {Utilizing Automatic Recognition and Classification of Images for Pattern Recognition},
journal = {International Journal of Intelligent Information Systems},
volume = {3},
number = {6-1},
pages = {80-83},
doi = {10.11648/j.ijiis.s.2014030601.25},
url = {https://doi.org/10.11648/j.ijiis.s.2014030601.25},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.25},
abstract = {Pattern recognition is a scientific approach for categorizing objects to class or subject numbers. These subjects need to be classified based on their applications (can be image, signal or any other type of measurements). Occupation, automation, military information, communication, industry and commercial applications and many other fields can benefit from Pattern recognition approaches. Perhaps, one the most important reasons that lead to pattern recognition prominent place in today's research studies, is the role of image auto-classifications. In this research, we investigate recent literatures about image auto-classification and image processing to identify patterns.},
year = {2014}
}
TY - JOUR T1 - Utilizing Automatic Recognition and Classification of Images for Pattern Recognition AU - Mohammad Hadi Yousofi AU - Habib Yousofi AU - Sayyed Amir Mohammad Razavi Y1 - 2014/11/05 PY - 2014 N1 - https://doi.org/10.11648/j.ijiis.s.2014030601.25 DO - 10.11648/j.ijiis.s.2014030601.25 T2 - International Journal of Intelligent Information Systems JF - International Journal of Intelligent Information Systems JO - International Journal of Intelligent Information Systems SP - 80 EP - 83 PB - Science Publishing Group SN - 2328-7683 UR - https://doi.org/10.11648/j.ijiis.s.2014030601.25 AB - Pattern recognition is a scientific approach for categorizing objects to class or subject numbers. These subjects need to be classified based on their applications (can be image, signal or any other type of measurements). Occupation, automation, military information, communication, industry and commercial applications and many other fields can benefit from Pattern recognition approaches. Perhaps, one the most important reasons that lead to pattern recognition prominent place in today's research studies, is the role of image auto-classifications. In this research, we investigate recent literatures about image auto-classification and image processing to identify patterns. VL - 3 IS - 6-1 ER -
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