{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,22]],"date-time":"2023-10-22T20:45:12Z","timestamp":1698007512105},"reference-count":12,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":7384,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1987,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>A method is proposed wherein printed documents are segmented into the following three areas: headline area, textline area, and attached area. Then the character lines constituting headline and textline are extracted. This paper describes: 1) the combination of the global features of the document such as projection profiles and stroke densities, and the local features of the document such as circumscribed rectangles are used; 2) the basic features of document elements such as character line periodicity in the textline area, so that a single method can be applied to segment document elements in differently formatted documents.<\/jats:p><jats:p>An experimental result of this method applied to eight Japanese and English printed documents of both horizontal and vertical lines showed that 98.4 percent of the headlines in headline area, 99.9 percent of the textlines in textline area, and 83.3 percent of diagrams in the attached area were segmented successfully.<\/jats:p><jats:p>The result confirms that this method is effective in segmenting document elements, and applicable to a variety of documents. Part of document processing is implemented in the experiment by special hardware for speed.<\/jats:p>","DOI":"10.1002\/scj.4690180410","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T13:33:11Z","timestamp":1183815191000},"page":"101-111","source":"Crossref","is-referenced-by-count":3,"title":["A method of document\u2010image segmentation based on projection profiles, stroke densities and circumscribed rectangles"],"prefix":"10.1002","volume":"18","author":[{"given":"Teruo","family":"Akiyama","sequence":"first","affiliation":[]},{"given":"Isao","family":"Masuda","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"issue":"11","key":"e_1_2_1_2_2","first-page":"1277","article-title":"A character segmentation algorithm for mixed\u2010mode communication","volume":"67","author":"Nakamura Ujiie","year":"1984","journal-title":"Trans. I. E. C. 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E., Japan"},{"key":"e_1_2_1_8_2","article-title":"Interactive editing system for layout understanding of documents and its application to document image database editing and management system","volume":"84","author":"Kato Hanaki","year":"1985","journal-title":"Technical Paper I. E. C. E., Japan"},{"issue":"1","key":"e_1_2_1_9_2","first-page":"111","article-title":"Segmentation method for document images without the knowledge of document formats","volume":"66","author":"Akiyama","year":"1983","journal-title":"Trans. I. E. C. E., Japan"},{"key":"e_1_2_1_10_2","first-page":"550","volume-title":"Approach to Smart Document Reader System","author":"Masuda I.","year":"1985"},{"issue":"8","key":"e_1_2_1_11_2","first-page":"757","article-title":"Stroke density feature for handprinted Chinese characters recognition","volume":"64","author":"Naito Komori","year":"1981","journal-title":"Trans. I. E. C. 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