INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION

Abhishek Anand; Abhinav Kumar; Ayush Kumar Sinha; Bhagyalaxmi N Gavaroji; NANDINI PRASAD. K S

INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION

April 2023

Vol-9, Issue-2

Paper ID: 19904

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Deep Learning Machine Learning Handwritten Digit Recognition (HTR) Convolution Neural Network (CNN) Text-to-speech Voice Processing

Abstract

The ability to express language, thoughts, and ideas through handwriting. It is a widely established fact that the majority of doctors have unreadable cursive handwriting. We show the Convolutional Neural Network (CNN)- based Handwriting Recognition System in action, which was developed to recognize the text in pictures of prescriptions written by doctors and to show how cursive handwriting may be transformed into legible text. The most successful method for resolving handwriting identification issues is to use convolutional neural networks (CNNs), and they are quite proficient at identifying the structure of handwritten letters and words in ways that make it easier to automatically extract distinguishing features. Handwriting recognition (HWR), is the ability of a computer to take and interpret comprehensible handwritten input from sources such as paper documents, images, touch displays, and other devices (HTR).

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Author Information

#	Name	Institute / Affiliation
1	Abhishek Anand	Dayananda Sagar Academy of Technology and Management
2	Abhinav Kumar	Dayananda Sagar Academy of Technology and Management
3	Ayush Kumar Sinha	Dayananda Sagar Academy of Technology and Management
4	Bhagyalaxmi N Gavaroji	Dayananda Sagar Academy of Technology and Management
5	NANDINI PRASAD. K S	Dayananda Sagar Academy of Technology and Management

How to Cite

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

APA Style

Anand, Abhishek, Kumar, Abhinav, Sinha, Ayush Kumar, Gavaroji, Bhagyalaxmi N, & S, NANDINI PRASAD. K (2023). INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2784-2789.

MLA Style

Anand, Abhishek, et al. "INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2784-2789.

IEEE Style

Abhishek Anand, Abhinav Kumar, Ayush Kumar Sinha, Bhagyalaxmi N Gavaroji, and NANDINI PRASAD. K S, "INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2784-2789, 2023.

Vancouver Style

Anand Abhishek, Kumar Abhinav, Sinha Ayush Kumar, Gavaroji Bhagyalaxmi N, S NANDINI PRASAD. K. INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2784-2789.

Harvard Style

Anand, Abhishek, Kumar, Abhinav, Sinha, Ayush Kumar, Gavaroji, Bhagyalaxmi N, & S, NANDINI PRASAD. K (2023) 'INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2784-2789.

Chicago Style

Anand, Abhishek, et al. "INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2784-2789.

Turabian Style

Anand, Abhishek, et al. "INTERPRETING DOCTORS NOTES FROM TEXT TO SPEECH USING HANDWRITING RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2784-2789.