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OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired.

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第一作者： Aishwarya,Nagasubramanian

第一单位： Department of ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India. n_aishwarya@ch.amrita.edu.

作者： Aishwarya,Nagasubramanian ^[1] ; Abdulaziz S,Almazyad ^[2] ; Sakthi Abirami,Balakrishnan ^[3] ; Bharath Ram,Mm ^[3] ; Devisowjanya,Potti ^[4] ; Mohammed,Zakariah ^[5] ; Deema Mohammed,AlSekait ^[6]

作者单位： Department of ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India. n_aishwarya@ch.amrita.edu. ^[1] Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia. ^[2] Department of ECE, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. ^[3] Department of ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India. ^[4] Department of Computer Science and Engineering, College of Applied Studies and Community Service, King Saud University, 11495, Riyadh, Saudi Arabia. ^[5] Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. ^[6]

关键词 Gated recurrent unit Optical character recognition Raspberry Pi Text-to-speech Visually impaired

医学主题词人类(Humans);模式识别, 自动(Pattern Recognition, Automated);算法(Algorithms);人工智能(Artificial Intelligence)

DOI 10.1038/s41598-025-25278-9

PMID 41272045

发布时间 2025-11-24

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准确一般字义偏差语意偏离译文作用小提交