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Recognition of Handwritten Flowcharts using Convolutional Neural Networks

by C. David Betancourt Montellano, C. Onder Francisco Campos Garcia, Roberto Oswaldo Cruz Leija
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 1
Year of Publication: 2022
Authors: C. David Betancourt Montellano, C. Onder Francisco Campos Garcia, Roberto Oswaldo Cruz Leija
10.5120/ijca2022921969

C. David Betancourt Montellano, C. Onder Francisco Campos Garcia, Roberto Oswaldo Cruz Leija . Recognition of Handwritten Flowcharts using Convolutional Neural Networks. International Journal of Computer Applications. 184, 1 ( Mar 2022), 37-41. DOI=10.5120/ijca2022921969

@article{ 10.5120/ijca2022921969,
author = { C. David Betancourt Montellano, C. Onder Francisco Campos Garcia, Roberto Oswaldo Cruz Leija },
title = { Recognition of Handwritten Flowcharts using Convolutional Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2022 },
volume = { 184 },
number = { 1 },
month = { Mar },
year = { 2022 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number1/32301-2022921969/ },
doi = { 10.5120/ijca2022921969 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:21.143985+05:30
%A C. David Betancourt Montellano
%A C. Onder Francisco Campos Garcia
%A Roberto Oswaldo Cruz Leija
%T Recognition of Handwritten Flowcharts using Convolutional Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 1
%P 37-41
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Currently, artificial vision is used in an endless number of tasks from domestic tasks to industrial and educational ones since with it those tasks can be streamlined because of having an automated process. This project explores the problem of handwritten information recovery, specifically the flowcharts used in the programming and designing of algorithms,approaching a solution with artificial vision, and proposes a pipeline able to recognize the elements of a handwritten flowchart using convolutional neural networks in order to generate code source in the C programming language equivalent to the recognized diagram, in addition the digitalized version of the flow diagram, thus automating the various tasks, having as a final result a file with .c extension with the source code, the compilation output and an image in .png format with the digitization of the diagram.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Convolutional neural network flowchart grammar analysis image processing object detection sketches recognition

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