Algorithm for segmentation of documents based on texture features. Pattern Recognition and Image Analysis Volume 23, Issue 1, 2013, Pages 153-159
14 сентября 2018
195
| Предметная область | — |
| Выходные данные | — |
| Ключевые слова | — |
| Вид публикации | Статья |
| Контактные данные автора публикации | Vilkin, A.M. , Safonov, I.V. , Egorova, M.A. National Research Nuclear University MEPhI |
| Ссылка на публикацию в интернете | www.scopus.com/record/display.url?origin=recordpage&eid=2-s2.0-84875445168&citeCnt=3&noHighlight=false&sort=plf-f&src=s&st1=MEPhI&nlo=&nlr=&nls=&sid=F0743CC1BB1CEC168410A18CB87C48A7.Vdktg6RVtMfaQJ4pNTCQ:6500&sot=b&sdt=b&sl=31&s=AFFIL(MEPhI) AND PUB |
Аннотация
The ascending approach to segmentation of scanned documents in the area of background, text, and photographs is considered. In the first stage, the image is divided into blocks. For each block, a series of texture features is calculated. On the basis of these features, the type of the block is determined. Various positions and sizes of blocks, 26 texture features, and 4 algorithms of classification of blocks were considered. In the second stage, the type of block was corrected on the basis of the analysis of neighboring regions. For estimating the results, the error matrix and the ICDAR 2007 criterion are used. © 2013 Pleiades Publishing, Ltd.
Author keywords
feature extraction; segmentation; supervised learning
Indexed keywords
Error matrices; Texture features
ПодробнееAuthor keywords
feature extraction; segmentation; supervised learning
Indexed keywords
Error matrices; Texture features
Для того чтобы оставить комментарий необходимо авторизоваться.