Open AccessThe Using of Thresholding and Region Merging Algorithm for Correcting the Multiple Choice Answer Sheets
Author(s) -
Hasanul Fahmi,
Muhammad Zarlis,
Herman Mawengkang,
Niskarto Zendrato,
Sulindawaty
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1255/1/012047
Subject(s) - thresholding , computer science , image (mathematics) , artificial intelligence , process (computing) , field (mathematics) , computer vision , balanced histogram thresholding , gray (unit) , image processing , mathematics , medicine , histogram equalization , pure mathematics , radiology , operating system
Increasing technology in digital encourages the human to create computer aplication to process two-dimensional data (Citra). Image retrieval that is the form of test files uses CCD cameras with a fairly expensive price, such as CCTV cameras. In this research, the author uses the methods thresholding and region merging to correct the answer sheet with a tool Webcam that the form of Image and it is procesed for correction the answer multiple choice. in this study, the author focuses on the application of the thresholding method in which the purpose is to classify the gray degree value into two, namely black and white. the application of the region merging method is the process of combining regions less than the threshold. The use of webcam, thresholding methods and merging region is expected to facilitate all circles of agencies, especially in the education field in the correction sheet answer. It can increase the output of quality teachers.