most citedHandwriting Recognition of Historical Documents with few labeled data

36 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

2 papers

cs.CV2021★ 2 cited

Fine-tuning Handwriting Recognition systems with Temporal Dropout

Edgard Chammas, Chafic Mokbel

This paper introduces a novel method to fine-tune handwriting recognition systems based on Recurrent Neural Networks (RNN). Long Short-Term Memory (LSTM) networks are good at model…

cs.CV2018★ 36 cited

Handwriting Recognition of Historical Documents with few labeled data

Edgard Chammas, Chafic Mokbel, Laurence Likforman-Sulem

Historical documents present many challenges for offline handwriting recognition systems, among them, the segmentation and labeling steps. Carefully annotated textlines are needed…