TransDocs: Optical Character Recognition with word to word translation
Optical character recognition
Sequence (biology)
DOI:
10.48550/arxiv.2304.07637
Publication Date:
2023-01-01
AUTHORS (2)
ABSTRACT
While OCR has been used in various applications, its output is not always accurate, leading to misfit words. This research work focuses on improving the optical character recognition (OCR) with ML techniques integration of long short-term memory (LSTM) based sequence deep learning models perform document translation. ANKI dataset for English Spanish In this work, I have shown comparative study pre-trained while using model LSTM-based seq2seq architecture attention machine End-to-end performance expressed BLEU-4 score. paper aimed at researchers and practitioners interested applications
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