Utilizing Automatic Recognition and Classification of Images for Pattern Recognition
International Journal of Intelligent Information Systems
Volume 3, Issue 6-1, December 2014, Pages: 80-83
Received: Oct. 27, 2014; Accepted: Oct. 30, 2014; Published: Nov. 5, 2014
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Authors
Mohammad Hadi Yousofi, Department of Mechatronics, Postgraduate School, Islamic Azad University of Kashan, Kashan, Iran
Habib Yousofi, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
Sayyed Amir Mohammad Razavi, Department of Electrical and Computer, Islamic Azad University of Kashan, Kashan, Iran
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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.
Keywords
Pattern Recognition, Images Auto-Classification, Image Processing, Support Vector Machine
To cite this article
Mohammad Hadi Yousofi, Habib Yousofi, Sayyed Amir Mohammad Razavi, Utilizing Automatic Recognition and Classification of Images for Pattern Recognition, International Journal of Intelligent Information Systems. Special Issue: Research and Practices in Information Systems and Technologies in Developing Countries. Vol. 3, No. 6-1, 2014, pp. 80-83. doi: 10.11648/j.ijiis.s.2014030601.25
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