Document Image Processing
Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document image ranges from images of historical documents written on various surfac...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Online |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Konular: | |
| Online Erişim: | 28634 |
| Etiketler: |
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| _version_ | 1869529017106825216 |
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| author | Ergina Kavallieratou (Ed:) Laurence Likforman-Sulem (Ed.) |
| author_browse | Ergina Kavallieratou (Ed:) Laurence Likforman-Sulem (Ed.) |
| author_facet | Ergina Kavallieratou (Ed:) Laurence Likforman-Sulem (Ed.) |
| author_sort | Ergina Kavallieratou (Ed:) |
| collection | Directory of Open Access Books |
| description | Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document image ranges from images of historical documents written on various surfaces, to synthetic images (useful for creating datasets) and videos including text. In order to succeed, many preprocessing tasks can be required: document skew detection and correction, slant removal, binarization and segmentation procedures, as well as other normalization tasks. These low-level tasks are generally followed by high-level tasks such as the recognition or spotting of textual elements (characters, words, or text lines). The intent of this Special Issue is to collect the experiences of leading scientists of the field, but also to be an assessment tool for people who are new to the world of document image processing. |
| format | Online |
| id | doab-20.500.12854ir-45348 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-453482022-01-31T09:40:52Z Document Image Processing Ergina Kavallieratou (Ed:) Laurence Likforman-Sulem (Ed.) TK7885-7895 indic/arabic/asian scripts preprocessing text-line segmentation document annotation tools document image processing performance evaluation document restoration handwriting recognition word spotting binarization Video OCR retrieval slant removal document datasets OCR Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document image ranges from images of historical documents written on various surfaces, to synthetic images (useful for creating datasets) and videos including text. In order to succeed, many preprocessing tasks can be required: document skew detection and correction, slant removal, binarization and segmentation procedures, as well as other normalization tasks. These low-level tasks are generally followed by high-level tasks such as the recognition or spotting of textual elements (characters, words, or text lines). The intent of this Special Issue is to collect the experiences of leading scientists of the field, but also to be an assessment tool for people who are new to the world of document image processing. 2021-02-11T11:38:38Z 2021-02-11T11:38:38Z 2018-09-19 10:53:09 2018 book 28634 9783038971054 9783038971061 https://directory.doabooks.org/handle/20.500.12854/45348 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International http://www.mdpi.com/books/pdfview/book/720 https://play.google.com/books/publish/a/14935057684283403269#details/ISBN:9783038420972 http://www.mdpi.com/books/pdfview/book/720 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-106-1 10.3390/books978-3-03897-106-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038971054 9783038971061 216 open access |
| spellingShingle | TK7885-7895 indic/arabic/asian scripts preprocessing text-line segmentation document annotation tools document image processing performance evaluation document restoration handwriting recognition word spotting binarization Video OCR retrieval slant removal document datasets OCR Ergina Kavallieratou (Ed:) Laurence Likforman-Sulem (Ed.) Document Image Processing |
| title | Document Image Processing |
| title_full | Document Image Processing |
| title_fullStr | Document Image Processing |
| title_full_unstemmed | Document Image Processing |
| title_short | Document Image Processing |
| title_sort | document image processing |
| topic | TK7885-7895 indic/arabic/asian scripts preprocessing text-line segmentation document annotation tools document image processing performance evaluation document restoration handwriting recognition word spotting binarization Video OCR retrieval slant removal document datasets OCR |
| topic_facet | TK7885-7895 indic/arabic/asian scripts preprocessing text-line segmentation document annotation tools document image processing performance evaluation document restoration handwriting recognition word spotting binarization Video OCR retrieval slant removal document datasets OCR |
| url | 28634 |
| work_keys_str_mv | AT erginakavallieratoued documentimageprocessing AT laurencelikformansulemed documentimageprocessing |