Handwritten Text Recognition On Iam Line

Test CER

Test WER

Results

Performance results of various models on this benchmark

			Paper Title
GFCN	8.0	28.6	Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
OrigamiNet-12	6.0	22.3	OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
VAN	5.0	16.3	End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
HTR-VT	4.7	14.9	HTR-VT: Handwritten Text Recognition with Vision Transformer
TrOCR	3.4	-	TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

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