Handwritten Russian text recognition

Datasets

Name	Size
Cyrillic Handwriting Dataset	train=72286, test=1544
HKR	train=45470, val=9359, test1=5057, test2=5057
HKR (reality)	train=45559, val=9375, test1=4966, test2=5043

HKR: val 9133 words in train, 242 words not in train

Metrics

• Accuracy: $$accuracy=\frac{1}{N}\sum_{i=j}c_{ij}$$

• For characters: $$CER(prediction,real)=\frac{substitutions+insertions+deletes}{len(real)}$$

• For words: $$WER(prediction,real)=\frac{substitutions+insertions+deletes}{len(real)}$$

Existing solutions

• Attention-Based Fully Gated CNN-BGRU for Russian Handwritten Text (2020)

Metric	HKR test1	HKR test2	HKR all
CER	4.13	6.31	4.5
WER	18.91	23.69	19.2

• StackMix and Blot Augmentations for Handwritten Text Recognition (2021)

Metric	HKR all
Accuracy	82.0
CER	3.49
WER	13.0