A Deep Learning-based Unified Solution for Character Recognition

Das, Avishek; Rabby, Akm Shahariar Azad; Kowsar, Ibna; Rahman, Fuad

doi:10.1109/icpr56361.2022.9956348

Cited by 2 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the Bengali language, datasets for OCR tasks have mainly focused on isolated character recognition Das et al, 2022), with examples such as BanglaLekha-Isolated (Biswas et al, 2017), EkushNet (Rabby et al, 2018) and Borno (Rabby et al, 2021). Some authors also tried to recognize only digits .…”

Section: Introductionmentioning

confidence: 99%

Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes

Ali,

Rabby,

Islam

et al. 2023

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track

View full text Add to dashboard Cite

This research paper focuses on developing an improved Bangla Optical Character Recognition (OCR) system, addressing the challenges posed by the complexity of Bangla text structure, diverse handwriting styles, and the scarcity of comprehensive datasets. Leveraging recent advancements in Deep Learning and OCR techniques, we anticipate a significant enhancement in the performance of Bangla OCR by utilizing a large and diverse collection of labeled Bangla text image datasets. This study introduces the most extensive gold standard corpus for Bangla characters and words, comprising over 4 million human-annotated images. Our dataset encompasses various document types, such as Computer Compose, Letterpress, Typewriters, Outdoor Banner-Poster, and Handwritten documents, gathered from diverse sources. The entire corpus has undergone meticulous human annotation, employing a controlled annotation procedure consisting of three-step annotation and one-step validation, ensuring adherence to gold standard criteria. This paper provides a comprehensive overview of the complete data collection procedure. The ICT Division, Government of the People's Republic of Bangladesh, will make the dataset publicly available, facilitating further research and development in Bangla OCR and related domains.

show abstract

Section: Introductionmentioning

confidence: 99%

Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes

Ali,

Rabby,

Islam

et al. 2023

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track

View full text Add to dashboard Cite

show abstract

“…During the 1960s and 1970s, significant work was done on supervised learning methods, such as neural networks 9 and regression algorithms 10 . These methods have been used to solve character recognition and computer vision tasks 11,12 .…”

Section: Introductionmentioning

confidence: 99%

Improving the efficiency and security of passport control processes at airports by using the R-CNN object detection model

et al. 2023

View full text Add to dashboard Cite

The use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and automatic data processing can be implemented. The proposed method is to use the R-CNN object detection model to detect passport objects in real-time images collected by passport control cameras. This paper describes the step-by-step process of the proposed approach, which includes pre-processing, training and testing the R-CNN model, integrating it into the passport control system, and evaluating its accuracy and speed for efficient passenger flow management at international airports. The implementation of this method has shown superior performance to previous methods in terms of reducing errors, delays and associated costs

show abstract

A Deep Learning-based Unified Solution for Character Recognition

Cited by 2 publications

References 21 publications

Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes

Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes

Improving the efficiency and security of passport control processes at airports by using the R-CNN object detection model

Contact Info

Product

Resources

About