局所領域の濃度分散に基づく文書画像からの手書き線抽出

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2016/02/01

タイトル(英語): Extraction of Handwriting Lines from Document Images Based on Concentration Distribution of the Local Area

著者名: 能手　穏義（岐阜大学大学院工学研究科），斉藤　文彦（岐阜大学大学院工学研究科）

著者名(英語): Yasuyoshi Note (Graduate School of Engineering, Gifu University), Fumihiko Saitoh (Graduate School of Engineering, Gifu University)

キーワード: 文書画像，筆記具，書込み，スキャナ，抽出　　Document Image，Writing instruments，Annotation，Scanner，Extraction

要約(英語): Paper documents have been widely used, and the digitization has been propelled for document management and efficiency. Additionally, since notes on them include users' information and interest, it is worth analyzing those information. However, it is difficult to perform character coding on both handwritten and machine-printed texts with an optical character reader. This paper proposes a method to extract the lines handwritten with writing tools from document images. The proposed method will facilitate the automation of the analysis and can be utilized for the extraction of important words and the preprocessing of handwriting information analysis. This method focuses on the concentration characteristics of writing tools. In the experiments using this method, handwriting and machine-printed lines were successfully extracted with 98% accuracy or above, and the false extraction of machine-printed areas was very little.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.2 （2016）

本誌掲載ページ: 173-179 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/2/136_173/_article/-char/ja/