Recognition of whiteboard notes :: online, offline and combination /
"This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meet...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore ; Hackensack, NJ :
World Scientific,
©2008.
|
| Schriftenreihe: | Series in machine perception and artificial intelligence ;
v. 71. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting." "The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system."--Jacket |
| Beschreibung: | 1 online resource (xx, 206 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 191-204) and index. |
| ISBN: | 9789812814548 981281454X |
Internformat
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| 100 | 1 | |a Liwicki, Marcus. | |
| 245 | 1 | 0 | |a Recognition of whiteboard notes : |b online, offline and combination / |c Marcus Liwicki, Horst Bunke. |
| 260 | |a Singapore ; |a Hackensack, NJ : |b World Scientific, |c ©2008. | ||
| 300 | |a 1 online resource (xx, 206 pages) : |b illustrations | ||
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| 490 | 1 | |a Series in machine perception and artificial intelligence ; |v v. 71 | |
| 504 | |a Includes bibliographical references (pages 191-204) and index. | ||
| 520 | 1 | |a "This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting." "The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system."--Jacket | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 1. Introduction. 1.1. Motivation. 1.2. Handwriting recognition. 1.3. Comparability of recognition results. 1.4. Related topics. 1.5. Contribution. 1.6. Ouline -- 2. Classification methods. 2.1. Hidden Markov models. 2.2. Neural networks. 2.3. Gaussian mixture models. 2.4. Language models -- 3. Linguistic resources and handwriting databases. 3.1. Linguistic resources. 3.2. IAM offline database. 3.3. IAM online database -- 4. Offline approach. 4.1. System description. 4.2. Enhancing the training set. 4.3. Experiments. 4.4. Word extraction. 4.5. Conclusions -- 5. Online approach. 5.1. Line segmentation. 5.2. Preprocessing. 5.3. Features. 5.4. HMM-based experiments. 5.5. Experiments with neural networks. 5.6. Conclusions and discussion -- 6. Multiple classifier combination. 6.1. Methodology. 6.2. Recognition systems. 6.3. Initial experiments. 6.4. Experiments with all recognition systems. 6.5. Advanced confidence measures. 6.6. Conclusions -- 7. Writer-dependent recognition. 7.1. Writer identification. 7.2. Writer-dependent experiments. 7.3. Automatic handwriting classification. 7.4. Conclusions -- 8. Conclusions. 8.1. Overview of recognition systems. 8.2. Overview of experimental results. 8.3. Concluding remarks. 8.4. Outlook. | |
| 650 | 0 | |a Optical pattern recognition. |0 http://id.loc.gov/authorities/subjects/sh85095159 | |
| 650 | 0 | |a Writing |x Data processing. | |
| 650 | 0 | |a Interactive whiteboards. |0 http://id.loc.gov/authorities/subjects/sh2005001284 | |
| 650 | 0 | |a Image processing |x Digital techniques. |0 http://id.loc.gov/authorities/subjects/sh85064447 | |
| 650 | 6 | |a Reconnaissance optique des formes (Informatique) | |
| 650 | 6 | |a Écriture |x Informatique. | |
| 650 | 6 | |a Tableaux blancs interactifs. | |
| 650 | 6 | |a Traitement d'images |x Techniques numériques. | |
| 650 | 7 | |a digital imaging. |2 aat | |
| 650 | 7 | |a COMPUTERS |x Computer Vision & Pattern Recognition. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Optical Data Processing. |2 bisacsh | |
| 650 | 7 | |a Image processing |x Digital techniques |2 fast | |
| 650 | 7 | |a Interactive whiteboards |2 fast | |
| 650 | 7 | |a Optical pattern recognition |2 fast | |
| 650 | 7 | |a Writing |x Data processing |2 fast | |
| 700 | 1 | |a Bunke, Horst. | |
| 758 | |i has work: |a Recognition of whiteboard notes (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGWv9QM98MQ4mbMpCqRxjC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Liwicki, Marcus. |t Recognition of whiteboard notes. |d Singapore ; Hackensack, NJ : World Scientific, ©2008 |z 9812814531 |w (DLC) 2009275511 |w (OCoLC)228425513 |
| 830 | 0 | |a Series in machine perception and artificial intelligence ; |v v. 71. |0 http://id.loc.gov/authorities/names/n91107585 | |
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|---|---|
| _version_ | 1816882224804397056 |
| adam_text | |
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| author | Liwicki, Marcus |
| author2 | Bunke, Horst |
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| author_facet | Liwicki, Marcus Bunke, Horst |
| author_role | |
| author_sort | Liwicki, Marcus |
| author_variant | m l ml |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TA1650 |
| callnumber-raw | TA1650 .L59 2008eb |
| callnumber-search | TA1650 .L59 2008eb |
| callnumber-sort | TA 41650 L59 42008EB |
| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-4-EBA |
| contents | 1. Introduction. 1.1. Motivation. 1.2. Handwriting recognition. 1.3. Comparability of recognition results. 1.4. Related topics. 1.5. Contribution. 1.6. Ouline -- 2. Classification methods. 2.1. Hidden Markov models. 2.2. Neural networks. 2.3. Gaussian mixture models. 2.4. Language models -- 3. Linguistic resources and handwriting databases. 3.1. Linguistic resources. 3.2. IAM offline database. 3.3. IAM online database -- 4. Offline approach. 4.1. System description. 4.2. Enhancing the training set. 4.3. Experiments. 4.4. Word extraction. 4.5. Conclusions -- 5. Online approach. 5.1. Line segmentation. 5.2. Preprocessing. 5.3. Features. 5.4. HMM-based experiments. 5.5. Experiments with neural networks. 5.6. Conclusions and discussion -- 6. Multiple classifier combination. 6.1. Methodology. 6.2. Recognition systems. 6.3. Initial experiments. 6.4. Experiments with all recognition systems. 6.5. Advanced confidence measures. 6.6. Conclusions -- 7. Writer-dependent recognition. 7.1. Writer identification. 7.2. Writer-dependent experiments. 7.3. Automatic handwriting classification. 7.4. Conclusions -- 8. Conclusions. 8.1. Overview of recognition systems. 8.2. Overview of experimental results. 8.3. Concluding remarks. 8.4. Outlook. |
| ctrlnum | (OCoLC)829714601 |
| dewey-full | 006.4/2 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4/2 |
| dewey-search | 006.4/2 |
| dewey-sort | 16.4 12 |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn829714601 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:13Z |
| institution | BVB |
| isbn | 9789812814548 981281454X |
| language | English |
| oclc_num | 829714601 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xx, 206 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | World Scientific, |
| record_format | marc |
| series | Series in machine perception and artificial intelligence ; |
| series2 | Series in machine perception and artificial intelligence ; |
| spelling | Liwicki, Marcus. Recognition of whiteboard notes : online, offline and combination / Marcus Liwicki, Horst Bunke. Singapore ; Hackensack, NJ : World Scientific, ©2008. 1 online resource (xx, 206 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Series in machine perception and artificial intelligence ; v. 71 Includes bibliographical references (pages 191-204) and index. "This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting." "The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system."--Jacket Print version record. 1. Introduction. 1.1. Motivation. 1.2. Handwriting recognition. 1.3. Comparability of recognition results. 1.4. Related topics. 1.5. Contribution. 1.6. Ouline -- 2. Classification methods. 2.1. Hidden Markov models. 2.2. Neural networks. 2.3. Gaussian mixture models. 2.4. Language models -- 3. Linguistic resources and handwriting databases. 3.1. Linguistic resources. 3.2. IAM offline database. 3.3. IAM online database -- 4. Offline approach. 4.1. System description. 4.2. Enhancing the training set. 4.3. Experiments. 4.4. Word extraction. 4.5. Conclusions -- 5. Online approach. 5.1. Line segmentation. 5.2. Preprocessing. 5.3. Features. 5.4. HMM-based experiments. 5.5. Experiments with neural networks. 5.6. Conclusions and discussion -- 6. Multiple classifier combination. 6.1. Methodology. 6.2. Recognition systems. 6.3. Initial experiments. 6.4. Experiments with all recognition systems. 6.5. Advanced confidence measures. 6.6. Conclusions -- 7. Writer-dependent recognition. 7.1. Writer identification. 7.2. Writer-dependent experiments. 7.3. Automatic handwriting classification. 7.4. Conclusions -- 8. Conclusions. 8.1. Overview of recognition systems. 8.2. Overview of experimental results. 8.3. Concluding remarks. 8.4. Outlook. Optical pattern recognition. http://id.loc.gov/authorities/subjects/sh85095159 Writing Data processing. Interactive whiteboards. http://id.loc.gov/authorities/subjects/sh2005001284 Image processing Digital techniques. http://id.loc.gov/authorities/subjects/sh85064447 Reconnaissance optique des formes (Informatique) Écriture Informatique. Tableaux blancs interactifs. Traitement d'images Techniques numériques. digital imaging. aat COMPUTERS Computer Vision & Pattern Recognition. bisacsh COMPUTERS Optical Data Processing. bisacsh Image processing Digital techniques fast Interactive whiteboards fast Optical pattern recognition fast Writing Data processing fast Bunke, Horst. has work: Recognition of whiteboard notes (Text) https://id.oclc.org/worldcat/entity/E39PCGWv9QM98MQ4mbMpCqRxjC https://id.oclc.org/worldcat/ontology/hasWork Print version: Liwicki, Marcus. Recognition of whiteboard notes. Singapore ; Hackensack, NJ : World Scientific, ©2008 9812814531 (DLC) 2009275511 (OCoLC)228425513 Series in machine perception and artificial intelligence ; v. 71. http://id.loc.gov/authorities/names/n91107585 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=521164 Volltext |
| spellingShingle | Liwicki, Marcus Recognition of whiteboard notes : online, offline and combination / Series in machine perception and artificial intelligence ; 1. Introduction. 1.1. Motivation. 1.2. Handwriting recognition. 1.3. Comparability of recognition results. 1.4. Related topics. 1.5. Contribution. 1.6. Ouline -- 2. Classification methods. 2.1. Hidden Markov models. 2.2. Neural networks. 2.3. Gaussian mixture models. 2.4. Language models -- 3. Linguistic resources and handwriting databases. 3.1. Linguistic resources. 3.2. IAM offline database. 3.3. IAM online database -- 4. Offline approach. 4.1. System description. 4.2. Enhancing the training set. 4.3. Experiments. 4.4. Word extraction. 4.5. Conclusions -- 5. Online approach. 5.1. Line segmentation. 5.2. Preprocessing. 5.3. Features. 5.4. HMM-based experiments. 5.5. Experiments with neural networks. 5.6. Conclusions and discussion -- 6. Multiple classifier combination. 6.1. Methodology. 6.2. Recognition systems. 6.3. Initial experiments. 6.4. Experiments with all recognition systems. 6.5. Advanced confidence measures. 6.6. Conclusions -- 7. Writer-dependent recognition. 7.1. Writer identification. 7.2. Writer-dependent experiments. 7.3. Automatic handwriting classification. 7.4. Conclusions -- 8. Conclusions. 8.1. Overview of recognition systems. 8.2. Overview of experimental results. 8.3. Concluding remarks. 8.4. Outlook. Optical pattern recognition. http://id.loc.gov/authorities/subjects/sh85095159 Writing Data processing. Interactive whiteboards. http://id.loc.gov/authorities/subjects/sh2005001284 Image processing Digital techniques. http://id.loc.gov/authorities/subjects/sh85064447 Reconnaissance optique des formes (Informatique) Écriture Informatique. Tableaux blancs interactifs. Traitement d'images Techniques numériques. digital imaging. aat COMPUTERS Computer Vision & Pattern Recognition. bisacsh COMPUTERS Optical Data Processing. bisacsh Image processing Digital techniques fast Interactive whiteboards fast Optical pattern recognition fast Writing Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85095159 http://id.loc.gov/authorities/subjects/sh2005001284 http://id.loc.gov/authorities/subjects/sh85064447 |
| title | Recognition of whiteboard notes : online, offline and combination / |
| title_auth | Recognition of whiteboard notes : online, offline and combination / |
| title_exact_search | Recognition of whiteboard notes : online, offline and combination / |
| title_full | Recognition of whiteboard notes : online, offline and combination / Marcus Liwicki, Horst Bunke. |
| title_fullStr | Recognition of whiteboard notes : online, offline and combination / Marcus Liwicki, Horst Bunke. |
| title_full_unstemmed | Recognition of whiteboard notes : online, offline and combination / Marcus Liwicki, Horst Bunke. |
| title_short | Recognition of whiteboard notes : |
| title_sort | recognition of whiteboard notes online offline and combination |
| title_sub | online, offline and combination / |
| topic | Optical pattern recognition. http://id.loc.gov/authorities/subjects/sh85095159 Writing Data processing. Interactive whiteboards. http://id.loc.gov/authorities/subjects/sh2005001284 Image processing Digital techniques. http://id.loc.gov/authorities/subjects/sh85064447 Reconnaissance optique des formes (Informatique) Écriture Informatique. Tableaux blancs interactifs. Traitement d'images Techniques numériques. digital imaging. aat COMPUTERS Computer Vision & Pattern Recognition. bisacsh COMPUTERS Optical Data Processing. bisacsh Image processing Digital techniques fast Interactive whiteboards fast Optical pattern recognition fast Writing Data processing fast |
| topic_facet | Optical pattern recognition. Writing Data processing. Interactive whiteboards. Image processing Digital techniques. Reconnaissance optique des formes (Informatique) Écriture Informatique. Tableaux blancs interactifs. Traitement d'images Techniques numériques. digital imaging. COMPUTERS Computer Vision & Pattern Recognition. COMPUTERS Optical Data Processing. Image processing Digital techniques Interactive whiteboards Optical pattern recognition Writing Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=521164 |
| work_keys_str_mv | AT liwickimarcus recognitionofwhiteboardnotesonlineofflineandcombination AT bunkehorst recognitionofwhiteboardnotesonlineofflineandcombination |