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Machine Learning Models And Datasets For Blurred Text Detection In Wild Scene: A Review
2023
Zenodo
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Text recognition and natural image recognition are key problems in machine learning with broad applications such as sports video analysis, autonomous driving, and industrial automation. ...
Current scene text recognition and/or scene text recognition methods leverage advances in machine learning architectures and report superior accuracy on reference data sets. ...
Character recognition based on deep learning of isolated Arabic scenes was proposed [1] . ...
doi:10.5281/zenodo.8254159
fatcat:qg6wqheb7rbednbq3pi6r7ixjm
Open Datasets and Tools for Arabic Text Detection and Recognition in News Video Frames
2018
Journal of Imaging
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This paper describes a new well-defined and annotated Arabic-Text-in-Video dataset called AcTiV 2.0. ...
AcTiV 2.0 contains 189 video clips serving as a raw material for creating 4063 key frames for the detection task and 10,415 cropped text images for the recognition task. ...
Sameh Masmoudi Touj contributed to the collect, design and annotation of the dataset, and verified the annotated data. All the co-authors have substantially revised the manuscript. ...
doi:10.3390/jimaging4020032
fatcat:5ghq5uliwjgdrgj6ehgnto4emi
Cursive-Text: A Comprehensive Dataset for End-to-End Urdu Text Recognition in Natural Scene Images
2020
Data in Brief
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In this data article, a comprehensive dataset for Urdu text detection and recognition in natural scene images is presented and analysed. ...
Reading text in natural scene images is an active research area in the fields of computer vision and pattern recognition as text detection, text recognition and script identification are required. ...
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ...
doi:10.1016/j.dib.2020.105749
pmid:32490098
pmcid:PMC7262424
fatcat:fafb2ehkjrbyppuqvzhiioeqoy
Cursive Character Recognition in Natural Scene Images using a Multilevel Convolutional Neural Network Fusion
2020
IEEE Access
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Conventional machine learning and deep learning-based methods have been developed that have achieved satisfactory results, but character recognition for cursive text such as Arabic and Urdu scripts in ...
The accuracy of current natural scene text recognition algorithms is limited by the poor performance of character recognition methods for these images. ...
ACKNOWLEDGEMENT The first author is thankful to the University of New South Wales, Australia for supporting his Ph.D. candidature with a scholarship. ...
doi:10.1109/access.2020.3001605
fatcat:s2sbgrsoafdl5gpyqdvlziwiw4
Multilingual Text Detection with Nonlinear Neural Network
2015
Mathematical Problems in Engineering
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Multilingual text detection in natural scenes is still a challenging task in computer vision. ...
We also develop a novel nonlinear network based on traditional Convolutional Neural Network that is able to detect multilingual text regions in the images. ...
Driven by a variety of realworld applications, scene text detection and recognition have become active research topics in computer vision. ...
doi:10.1155/2015/431608
fatcat:gsw3rhy755cphjl3wwk2v5on5u
Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset
2021
IEEE Access
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Marwan Torki (Alexandria University) for his valuable ideas and suggestions during the planning of this work. His willingness to give his time so generously is very much appreciated. ...
ARABIC SCENE TEXT RECOGNITION Much work has been done on Arabic printed text in documents and on handwritten text [37] ; however, the field of text detection and recognition in natural scenes has not ...
of Arabic text recognition using a selected set of deep learning-based scene text recognition models to determine which works better with Arabic text. ...
doi:10.1109/access.2021.3100717
fatcat:vktg6bdybjhtnb2f67yovifo4q
ATTICA: A dataset for Arabic Text-based Traffic Panels detection
2021
IEEE Access
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In order to examine the utility and advantages of our dataset, we adopt stateof-the-art deep learning based approaches. ...
for Arabic text extraction/recognition. ...
It is designed to detect text lines in natural scene images by adopting the characteristics of CNNs. ...
doi:10.1109/access.2021.3092821
fatcat:h5jqwk32bnfrxoeyawufr5cbqq
ETDR: An Exploratory View of Text Detection and Recognition in Images and Videos
2021
Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information
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Third, the process flow for extracting information from the text and the existing machine learning and deep learning techniques used to train the model was described. ...
Since this opens the way, several real-time-based applications such as text detection, localization, and tracking have become more prevalent in text analysis systems. ...
Text recognition using deep learning Many research suggested deep learning-based methods to solve the difficulties of recognizing text in the image. ...
doi:10.18280/ria.350504
fatcat:l47wy45vwjdc3dobxy3xxp7rqe
Cursive Text Recognition in Natural Scene Images using Deep Convolutional Recurrent Neural Network
2022
IEEE Access
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Text recognition in natural scene images is a challenging problem in computer vision. ...
In this paper, we propose a segmentation-free method based on a deep convolutional recurrent neural network to solve the problem of cursive text recognition, particularly focusing on Urdu text in natural ...
ACKNOWLEDGMENTS The first author is thankful to the University of New South Wales, Australia, for supporting his Ph.D. candidature with a scholarship. ...
doi:10.1109/access.2022.3144844
fatcat:qmyrwvwgercpnbk6zxkmx6yani
Detection and recognition of cursive text from video frames
2020
EURASIP Journal on Image and Video Processing
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Detection of textual regions in video frames is carried out by fine-tuning deep neural networks based object detectors for the specific case of text detection. ...
This paper presents a comprehensive framework for detection and recognition of textual content in video frames. More specifically, we target cursive scripts taking Urdu text as a case study. ...
Acknowledgements Authors would like to thank IGNITE for funding this project. ...
doi:10.1186/s13640-020-00523-5
fatcat:gavtdy4pyvfhxgatrjxiqipr4y
A fine-grained approach to scene text script identification
[article]
2016
arXiv
pre-print
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In addition, we propose a new public benchmark dataset for the evaluation of joint text detection and script identification in natural scenes. ...
Although widely studied for document images and handwritten documents, it remains an almost unexplored territory for scene text images. ...
text lines in natural scene images and properly recognizing their scripts. ...
arXiv:1602.07475v1
fatcat:xesy7sxekvcwvdzsuxfg6ygfcu
E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text
[article]
2018
arXiv
pre-print
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The approach is based on a single fully convolutional network (FCN) with shared layers for both tasks. E2E-MLT is the first published multi-language OCR for scene text. ...
While trained in multi-language setup, E2E-MLT demonstrates competitive performance when compared to other methods trained for English scene text alone. ...
Character-centric deep learning based method [18] makes use of a CNN [23] for image patches (obtained by sliding window) to predict text/no-text score, a character and a bi-gram class. ...
arXiv:1801.09919v2
fatcat:7xzchkpz3zaftj2ws3awjoipve
Improving patch-based scene text script identification with ensembles of conjoined networks
[article]
2017
arXiv
pre-print
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This paper focuses on the problem of script identification in scene text images. ...
In addition, we propose a new public benchmark dataset for the evaluation of multi-lingual scene text end-to-end reading systems. ...
systems for scene text understanding in natural scenes. ...
arXiv:1602.07480v2
fatcat:ayqfeitjonao3mfjuvhbudfm3a
Cursive Caption Text Detection in Videos
[article]
2023
arXiv
pre-print
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Detection of textual regions in video frames is carried out by fine-tuning object detectors based on deep convolutional neural networks for the specific case of text detection. ...
This paper presents a robust technique for detection of textual content appearing in video frames. More specifically we target text in cursive script taking Urdu text as a case study. ...
Among deep learning based techniques adapted for text detection, Huang et al. [21] employed sliding windows with CNNs to detect textual regions in low resolution scene images. ...
arXiv:2301.03164v1
fatcat:jzvzfdnugnf4jbczxmfifj6ao4
Transfer Learning for Scene Text Recognition in Indian Languages
[chapter]
2021
Lecture Notes in Computer Science
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2022 pre-print arXiv:2201.03180v1 fatcat:6oaeky6p5zepfi64axnnnccmqu
In this work, we investigate the power of transfer learning for all the layers of deep scene text recognition networks from English to two common Indian languages. ...
We finally set new benchmarks for scene-text recognition on Hindi, Telugu, and Malayalam datasets from IIIT-ILST and Bangla dataset from MLT-17 by achieving 6%, 5%, 2%, and 23% gains in Word Recognition ...
Introduction Scene-text recognition or Photo-Optical Character Recognition (Photo-OCR) aims to read scene-text in natural images. ...
doi:10.1007/978-3-030-86198-8_14
fatcat:w2yaicu4irdtxk7ynmzsngjz3y
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