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Table 3 Experimental results on the ICDAR 2013 dataset [29]

From: Textline detection in degraded historical document images

 

DR l

RA l

FM l

CUBS

97.96%

96.94%

97.45%

GOLESTAN-a,b

98.23%

98.34%

98.28%

LRDE

96.94%

97.57%

97.25%

MSHK

91.66%

90.06%

90.85%

NUS

98.34%

98.49%

98.41%

QATAR-a

90.75%

91.55%

91.15%

QATAR-b

91.73%

93.14%

92.43%

CVC

91.28%

89.06%

90.16%

IRISA

97.85%

96.93%

97.39%

†ILSP [28]

96.11%

94.82%

95.46%

†NCSR [17]

92.37%

92.48%

92.43%

†TEI [20]

97.77%

96.82%

97.30%

†Koo et al. [10]

93.58%

92.29%

92.93%

†Fernández-Mota et al. [3]

96.30%

94.58%

95.43%

†Ryu et al. [25]

98.64%

98.68%

98.66%

Proposed

98.67%

98.82%

98.75%

  1. In addition to competition results, the performances of other conventional methods are also presented †
  2. The highlighted values show the best results