@article{bayar_development_2017,
	title = {Development of an {Automatic} {Grading} {System} {Based} on {Energy} {Circular} {Hough} {Transform} and {Causal} {Median} {Filter}},
	volume = {5},
	copyright = {Copyright (c) 2017 International Journal of Intelligent Systems and Applications in Engineering},
	issn = {2147-6799},
	url = {https://atscience.org/IJISAE/article/view/471},
	doi = {10.18201/ijisae.2017531422},
	abstract = {Optical mark recognition machines are used for performing automatic grading of the exam papers that have multiple choice answers. They use some mathematical operations to achieve recognizing the answers marked by the ones who take the exam. In this study, an automatic grading system developed by the use of Hough transform and a filtering system is proposed. The system introduced brings a new perspective for grading the multiple choice exam papers. It focuses on adapting the energy based circular Hough transform for identifying the marked answer bubbles. The procedure is also combined with a data filtering method known as casual median filter. The filtering system, which targets for detecting the outliers and removing them, is commonly used by the robotics and mechatronics researchers for cleaning the unwanted data. The whole system is verified by testing more than 2500 exam answer sheets of the Technical English course offered to the second year Mechanical Engineering students of the Bulent Ecevit University located in Zonguldak, Turkey. The system performance is also tested by observing the results obtained in three different case studies designed and conducted for different goals.},
	language = {en},
	number = {3},
	urldate = {2018-03-30TZ},
	journal = {International Journal of Intelligent Systems and Applications in Engineering},
	author = {Bayar, Gokhan},
	month = sep,
	year = {2017},
	keywords = {Automatic grading, Casual median filter., Energy circular Hough transform, Image processing, Multiple choice exams, Outliers},
	pages = {81--88}
}

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They use some mathematical operations to achieve recognizing the answers marked by the ones who take the exam. In this study, an automatic grading system developed by the use of Hough transform and a filtering system is proposed. The system introduced brings a new perspective for grading the multiple choice exam papers. It focuses on adapting the energy based circular Hough transform for identifying the marked answer bubbles. The procedure is also combined with a data filtering method known as casual median filter. The filtering system, which targets for detecting the outliers and removing them, is commonly used by the robotics and mechatronics researchers for cleaning the unwanted data. The whole system is verified by testing more than 2500 exam answer sheets of the Technical English course offered to the second year Mechanical Engineering students of the Bulent Ecevit University located in Zonguldak, Turkey. The system performance is also tested by observing the results obtained in three different case studies designed and conducted for different goals.","language":"en","number":"3","urldate":"2018-03-30TZ","journal":"International Journal of Intelligent Systems and Applications in Engineering","author":[{"propositions":[],"lastnames":["Bayar"],"firstnames":["Gokhan"],"suffixes":[]}],"month":"September","year":"2017","keywords":"Automatic grading, Casual median filter., Energy circular Hough transform, Image processing, Multiple choice exams, Outliers","pages":"81--88","bibtex":"@article{bayar_development_2017,\n\ttitle = {Development of an {Automatic} {Grading} {System} {Based} on {Energy} {Circular} {Hough} {Transform} and {Causal} {Median} {Filter}},\n\tvolume = {5},\n\tcopyright = {Copyright (c) 2017 International Journal of Intelligent Systems and Applications in Engineering},\n\tissn = {2147-6799},\n\turl = {https://atscience.org/IJISAE/article/view/471},\n\tdoi = {10.18201/ijisae.2017531422},\n\tabstract = {Optical mark recognition machines are used for performing automatic grading of the exam papers that have multiple choice answers. They use some mathematical operations to achieve recognizing the answers marked by the ones who take the exam. In this study, an automatic grading system developed by the use of Hough transform and a filtering system is proposed. The system introduced brings a new perspective for grading the multiple choice exam papers. It focuses on adapting the energy based circular Hough transform for identifying the marked answer bubbles. The procedure is also combined with a data filtering method known as casual median filter. The filtering system, which targets for detecting the outliers and removing them, is commonly used by the robotics and mechatronics researchers for cleaning the unwanted data. The whole system is verified by testing more than 2500 exam answer sheets of the Technical English course offered to the second year Mechanical Engineering students of the Bulent Ecevit University located in Zonguldak, Turkey. 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