Neural network language models for off-line handwriting recognition
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2014/04/01
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Journal
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Indian UGC (journal)
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Refrences50
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Citations30
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F. Zamora-Martínez
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V. Frinken
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S. España-Boquera
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M.J. Castro-Bleda
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A. Fischer
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H. Bunke
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Improving offline handwritten text recognition with hybrid HMM/ANN models | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 2011 | |
| Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition | International Journal on Document Analysis and Recognition (IJDAR) |
| 7 | 2011 |
| A novel connectionist system for unconstrained handwriting recognition | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 2009 | |
| Hidden Markov model-based ensemble methods for offline handwritten text line recognition | Pattern Recognition |
| 22 | 2008 |
| Continuous space language models | Computer Speech & Language |
| 96 | 2007 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| KOHTD: Kazakh offline handwritten text dataset | Signal Processing: Image Communication |
| 4 | 2022 |
| A bibliometric analysis of off-line handwritten document analysis literature (1990–2020) | Pattern Recognition |
| 2 | 2022 |
| Pay attention to what you read: Non-recurrent handwritten text-Line recognition | Pattern Recognition |
| 18 | 2022 |
Exploring Medieval Manuscripts Writer Predictability: A Study on Scribe and Letter Identification | Digital Studies / Le champ numérique |
| 2022 | |
| Handwritten Kazakh and Russian (HKR) database for text recognition | Multimedia Tools and Applications |
| 8 | 2021 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 22
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Unregistered Biological Words Recognition by Q-Learning with Transfer Learning and was published in 2014. The most recent citation comes from a 2022 study titled Exploring Medieval Manuscripts Writer Predictability: A Study on Scribe and Letter Identification. This article reached its peak citation in 2019, with 6 citations. It has been cited in 19 different journals, 31% of which are open access. Among related journals, the Pattern Recognition cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.