An empirical study of CTC based models for OCR of Indian languages. (arXiv:2205.06740v1 [cs.CV])

Recognition of text on word or line images, without the need for sub-word
segmentation has become the mainstream of research and development of text
recognition for Indian languages. Modelling unsegmented sequences using
Connectionist Temporal Classification (CTC) is the most commonly used approach
for segmentation-free OCR. In this work we present a comprehensive empirical
study of various neural network models that uses CTC for transcribing step-wise
predictions in the neural network output to a Unicode sequence. The study is
conducted for …

arxiv cv ocr study