This paper presents a script-independent methodology for optical character recognition (OCR) based on the use of hidden Markov models (HMM).
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Abstract: This paper presents a script-independent methodology for optical character recognition (OCR) based on the use of hidden Markov models (HMM).
Oct 22, 2024 · This paper presents a script-independent methodology for optical character recognition (OCR) based on the use of hidden Markov models (HMM).
The script independence of the system is demonstrated in three languages with different types of script: Arabic, English, and Chinese, and an unsupervised ...
Multilingual machine printed OCR. Authors: Premkumar Natajan.
This work aims to develop a multilingual translation OCR system that can recognize the basic printed texts of Telugu scripts. Published in: 2021 12th ...
Jul 15, 2024 · OCR technology is a cornerstone in managing documents across multiple languages, adeptly converting printed texts into formats that are both editable and ...
Recent advances in OCR have shown that an end-to- end (E2E) training pipeline that includes both detection and recognition leads to the best results.
... OCR designers for improving the accuracy rate. This paper presents a Bilingual OCR system for printed Malayalam and English text. Here we propose an ...
Dec 5, 2024 · We compare our model against state-of-the-art semantic segmentation and change detection models, as well as to conventional OCR-based models.