Handwritten Text Recognition On Read2016 Line

Test CER

Test WER

Results

Performance results of various models on this benchmark

			Paper Title
CNN + BLSTM	4.7	-	Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition
Span	4.6	21.1	SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition
VAN	4.1	16.3	End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
DAN	4.1	17.6	DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition
HTR-VT	3.9	16.5	HTR-VT: Handwritten Text Recognition with Vision Transformer

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