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J. Imaging 2018,4, 43
Figure12.Balinesemanuscriptwithbinarizedgroundtruth image.
Figure13.Sundanesemanuscriptwithbinarizedgroundtruth image.
4.1.2. EvaluationMethod
Followingourpreviouswork[24]andtheevaluationmethodfromtheICFHRcompetition[25],
threemetricsofbinarizationevaluationthatwereusedin theDIBCO2009contest [37]areused in the
binarization taskevaluation for thiswork. Those threemetricsareF-Measure (FM)(Equation(3)),Peak
SNR (PSNR) (Equation(5)), andNegativeRateMetric (NRM)(Equation(8)).
F-Measure (FM):FMisdefinedfromRecallandPrecision.
Recall= TP
FN+TP ×100 (1)
Precision= TP
FP+TP ×100 (2)
TP, definedas truepositive, occurswhen the imagepixel is labeledas foregroundand theground
truth isalso.FP,definedas falsepositive,occurswhenthe imagepixel is labeledas foregroundbut the
groundtruth is labeledasbackground.FN,definedas falsenegative,occurswhenthe imagepixel is
labeledasbackgroundbut thegroundtruth is labeledas foreground(Equations (1)and(2)).
FM= 2×Recall×Precision
Recall+Precision (3)
AhigherF-measure indicatesabettermatch.
PeakSNR(PSNR):PSNRiscalculatedfromMeanSquareError (MSE) (Equation(4)).
MSE= M
∑
x=1 N
∑
y=1 (I1(x,y)− I2(x,y))2
M∗N (4)
PSNR=10× log10( C2
MSE ), (5)
whereC isdefinedas1, thedifferencebetween foregroundandbackgroundcolors in thecaseof a
binary image.AhigherPSNRindicatesabettermatch.
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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