eBook
Symbol Spotting in Digital Libraries
| Τίτλος: | Symbol Spotting in Digital Libraries |
|---|---|
| Περιγραφή: | Pattern recognition basically deals with the recognition of patterns, shapes, objects, things in images. Document image analysis was one of the very?rst applications of pattern recognition and even of computing. But until the 1980s, research in this?eld was mainly dealing with text-based documents, including OCR (Optical Character Recognition) and page layout analysis. Only a few people were looking at more speci?c documents such as music sheet, bank cheques or forms. The community of graphics recognition became visible in the late 1980s. Their speci?c interest was to recognize high-level objects represented by line drawings and graphics. The speci?c pattern recognition problems they had to deal with was raster-to-graphics conversion (i.e., recognizing graphical primitives in a cluttered pixel image), text-graphics separation, and symbol recognition. The speci?c problem of symbol recognition in graphical documents has received a lot of attention. The symbols to be recognized can be musical notation, electrical symbols, architectural objects, pictograms in maps, etc. At?rst glance, the symbol recognition problems seems to be very similar to that of character recognition; - ter all, characters are basically a subset of symbols. Therefore, the large know-how in OCR has been extensively used in graphical symbol recognition: starting with segmenting the document to extract the symbols, extracting features from the s- bols, and then recognizing them through classi?cation or matching, with respect to a training/learning set. |
| Συγγραφείς: | Marçal Rusiñol, Josep Lladós |
| Resource Type: | eBook. |
| Θέματα: | Pattern recognition systems--Data processing, Signs and symbols--Data processing, Computer graphics, Digital libraries, Image analysis |
| Categories: | COMPUTERS / Database Administration & Management, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 338119 RelevancyScore: 887 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 887.038757324219 |
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| Items | – Name: Title Label: Title Group: Ti Data: Symbol Spotting in Digital Libraries – Name: Abstract Label: Description Group: Ab Data: Pattern recognition basically deals with the recognition of patterns, shapes, objects, things in images. Document image analysis was one of the very?rst applications of pattern recognition and even of computing. But until the 1980s, research in this?eld was mainly dealing with text-based documents, including OCR (Optical Character Recognition) and page layout analysis. Only a few people were looking at more speci?c documents such as music sheet, bank cheques or forms. The community of graphics recognition became visible in the late 1980s. Their speci?c interest was to recognize high-level objects represented by line drawings and graphics. The speci?c pattern recognition problems they had to deal with was raster-to-graphics conversion (i.e., recognizing graphical primitives in a cluttered pixel image), text-graphics separation, and symbol recognition. The speci?c problem of symbol recognition in graphical documents has received a lot of attention. The symbols to be recognized can be musical notation, electrical symbols, architectural objects, pictograms in maps, etc. At?rst glance, the symbol recognition problems seems to be very similar to that of character recognition; - ter all, characters are basically a subset of symbols. Therefore, the large know-how in OCR has been extensively used in graphical symbol recognition: starting with segmenting the document to extract the symbols, extracting features from the s- bols, and then recognizing them through classi?cation or matching, with respect to a training/learning set. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Marçal+Rusiñol%22">Marçal Rusiñol</searchLink><br /><searchLink fieldCode="AR" term="%22Josep+Lladós%22">Josep Lladós</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pattern+recognition+systems--Data+processing%22">Pattern recognition systems--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Signs+and+symbols--Data+processing%22">Signs and symbols--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics%22">Computer graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+libraries%22">Digital libraries</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Database+Administration+%26+Management%22">COMPUTERS / Database Administration & Management</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+Computer+Vision+%26+Pattern+Recognition%22">COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=338119 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 025.04 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Pattern recognition systems--Data processing Type: general – SubjectFull: Signs and symbols--Data processing Type: general – SubjectFull: Computer graphics Type: general – SubjectFull: Digital libraries Type: general – SubjectFull: Image analysis Type: general Titles: – TitleFull: Symbol Spotting in Digital Libraries Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Marçal Rusiñol – PersonEntity: Name: NameFull: Josep Lladós – PersonEntity: Name: NameFull: Marçal Rusiñol – PersonEntity: Name: NameFull: Josep Lladós IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2010 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9781849962070 – Type: isbn-print Value: 9781447161790 – Type: isbn-electronic Value: 9781849962087 Titles: – TitleFull: Symbol Spotting in Digital Libraries Type: main |
| ResultId | 1 |