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J. Imaging 2018,4, 57
Table3.ClassificationresultsusingvariousthresholdsforRULBP.Theclassificationaccuracygradually
increasesandattainsamaximumata thof105units.
FeatureDimension Threshold(th) Precision Recall F-Measure Accuracyin%
5 0.915 0.915 0.914 91.45
25 0.915 0.915 0.915 91.52
45 0.916 0.916 0.915 91.61
59 65 0.917 0.917 0.917 91.72
85 0.919 0.918 0.918 91.84
105 0.920 0.920 0.919 91.96
115 0.919 0.918 0.918 91.84
Figure10.Graphical comparisonof theperformancesofdifferentLBPvariants inclassifyingthe texts
andnon-textspresent inhandwrittendocument images.
Figure11.Graphical comparisonof theperformancesofRULBPwithdifferent threshold inclassifying
the textsandnon-textspresent inhandwrittendocument images.
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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