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J. Imaging 2018,4, 57
variantsarealsopresented inFigures10and11. Thedata inTable2 formsthebasis for thepoints in
Figure10while thedata inTable3 formsthebasis for thepoints inFigure11.
(a) (b) (c)
(d) (e) (f)
(g) (h)
Figure 8. Pictorial comparisonbetween theperformances ofdifferentLBPbased featureswithRF
Classifier.Here, (a)grayscale image, (b)groundtruth image, (c) resultusingLBP, (d) resultusingILBP,
(e) resultusingRILBP, (f) resultusingULBP, (g) resultusingRIULBP,and(h) resultusingRULBP.
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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