DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition

Lahor Purva Rajesh; Narang Nishika Manish; Mahajan Bhavika Rajendra; Malve Tanvi Sanjay

DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition

April 2025

Vol-11, Issue-2

Paper ID: 26158

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science Engineering

Keywords

Text recognition scene text DeepSceneText text detection multi-scale transformer real-life images blurry curved text COCO-Text ICDAR 2017 SVT accuracy speed real-world applications.

Abstract

We all use text every day — it’s how we share ideas and information. But reading text from real-life pictures (like street signs or labels) is tough because the image might be blurry, dark, or have weird fonts. This project, DeepSceneText, uses smart techniques to make this easier and more accurate.Instead of handling text detection and recognition as two separate jobs, this system does both at the same time. It also looks at the image in multiple sizes (multi-scale), so it can read both big and small text. And it uses transformer technology, which helps find and understand the text, even if it’s curved or not in a straight line.They tested it on standard datasets (like COCO-Text, ICDAR 2017, and SVT), and it worked better than older methods it was more accurate and faster, especially in real-world situations like reading signs or documents.

License

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Author Information

#	Name	Institute / Affiliation
1	Lahor Purva Rajesh	Padmashri Dr Vithalrao Vikhe Patil College of Engineering ,Ahilyanagar
2	Narang Nishika Manish	Padmashri Dr Vithalrao Vikhe Patil College of Engineering ,Ahilyanagar
3	Mahajan Bhavika Rajendra	Padmashri Dr Vithalrao Vikhe Patil College of Engineering ,Ahilyanagar
4	Malve Tanvi Sanjay	Padmashri Dr Vithalrao Vikhe Patil College of Engineering ,Ahilyanagar

How to Cite

Use the following formats to cite this article in your research.

APA Style

Rajesh, Lahor Purva, Manish, Narang Nishika, Rajendra, Mahajan Bhavika, & Sanjay, Malve Tanvi (2025). DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 1548-1554.

MLA Style

Rajesh, Lahor Purva, et al. "DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 1548-1554.

IEEE Style

Lahor Purva Rajesh, Narang Nishika Manish, Mahajan Bhavika Rajendra, and Malve Tanvi Sanjay, "DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 1548-1554, 2025.

Vancouver Style

Rajesh Lahor Purva, Manish Narang Nishika, Rajendra Mahajan Bhavika, Sanjay Malve Tanvi. DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):1548-1554.

Harvard Style

Rajesh, Lahor Purva, Manish, Narang Nishika, Rajendra, Mahajan Bhavika, & Sanjay, Malve Tanvi (2025) 'DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 1548-1554.

Chicago Style

Rajesh, Lahor Purva, et al. "DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 1548-1554.

Turabian Style

Rajesh, Lahor Purva, et al. "DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and Recognition." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 1548-1554.