Text Detection and Recognition of Characters in Medical Prescription

被引：0

作者：

Shaik, Moinuddin Ahmed ^{[1
]}

Shekhar, Himanshu ^{[2
]}

Bhagyalakshmi, L. ^{[3
]}

Patra, P. Santosh Kumar ^{[4
]}

Suman, Sanjay Kumar ^{[5
]}

Prabakaran, G. ^{[6
]}

机构：

[1] Maulana Azad Natl Urdu Univ, Dept CSE & IT, Hyderabad, India

[2] Hindustan Inst Technol & Sci, Dept ECE, Chennai, TN, India

[3] Rajalakshmi Engn Coll, Dept ECE, Chennai, TN, India

[4] St Martins Engn Coll, Dept CSE, Secunderabad, Telangana, India

[5] St Martins Engn Coll, Dept ECE, Secunderabad, Telangana, India

[6] St Martins Engn Coll, Dept IT, Secunderabad, Telangana, India

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, MACHINE LEARNING AND APPLICATIONS, VOL 1, ICDSMLA 2023 | 2025年 / 1273卷

关键词：

OCR; Segmentation; Text Extraction; Templates; TTS; !text type='PYTHON']PYTHON[!/text;

D O I：

10.1007/978-981-97-8031-0_93

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Among millions of individuals throughout the world are blind or visually handicapped. Visually in able people's lives are significantly impacted by their inability to read. The proposed technology is cost-effective and assists visually challenged individuals in hearing text. This project's core aim is to employ optical character recognition to turn text characters into audio signals. The text is first preprocessed, and then each character is segmented for recognition. Following segmentation, the letter is extracted and the file containing the text is resized. The audio signal is then created from the text file. All of the preceding processes will be carried out in Python.

引用

页码：871 / 878

页数：8

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