@article{oai:kindai.repo.nii.ac.jp:00021035,
 author = {岩佐, 英彦 and 宮崎, 勢三},
 issue = {13},
 journal = {近畿大学工業高等専門学校研究紀要, Research reports Kindai University Technical College},
 month = {Mar},
 note = {Since the implementation of school evaluation questionnaires at public elementary and junior high schools has become compulsory, teachers have been burdened with counting questionnaires. On the other hand, in public schools, it is difficult to purchase a mark sheet reading device and mark sheet paper due to budget constraints. In this study, we investigate a method of totalizing questionnaires using a commercially available scanner using questionnaire paper that can be printed with a general printer. We propose a method using deep learning for check mark recognition, and show that sufficient recognition accuracy can be obtained by learning about 1000 samples., application/pdf},
 pages = {67--70},
 title = {深層学習を用いたチェックマーク式アンケートの自動認識に関する一検討},
 year = {2020},
 yomi = {イワサ, ヒデヒコ and ミヤザキ, セイゾウ}
}