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J. Imaging 2018,4, 15
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Word 3-gram LM Character 10-gram LM
Open voc.
Open voc. with val.
Closed voc.
Closed voc. with val.
Figure11.CERresultsobtainedbythebestword-basedHMMsystemandthebest character-based
HMMsystemwithopenandclosedvocabulary,withandwithoutusing thevalidationsamples for
trainingtheLM.
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Word 3-gram LM Character 10-gram LM
Open voc.
Open voc. with val.
Closed voc.
Closed voc. with val.
Figure12.RecognitionaccuracyrateforOOVwordsbythebestword-basedHMMsystemandthebest
character-basedHMMsystemwithopenandclosedvocabulary,withandwithoutusing thevalidation
samples for trainingtheLM.
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Word 3-gram LM Character 10-gram LM
Open voc.
Open voc. with val.
Closed voc.
Closed voc. with val.
Figure13.WERresultsobtainedbythebestword-basedHMMsystemandthebestcharacter-based
HMMsystemwithopenandclosedvocabulary,withandwithoutusing thevalidationsamples for
trainingtheLM.
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book Document Image Processing"
Document Image Processing
- Title
- Document Image Processing
- Authors
- Ergina Kavallieratou
- Laurence Likforman-Sulem
- Editor
- MDPI
- Location
- Basel
- Date
- 2018
- Language
- German
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-106-1
- Size
- 17.0 x 24.4 cm
- Pages
- 216
- Keywords
- document image processing, preprocessing, binarizationl, text-line segmentation, handwriting recognition, indic/arabic/asian script, OCR, Video OCR, word spotting, retrieval, document datasets, performance evaluation, document annotation tools
- Category
- Informatik