Abstract

A lot of offline information or request forms available at certain government firms and similar companies use text boxes to fill the information. The data from these manually filled forms has to be manually filled in the machine database requiring a person to type the data. The proposed system uses a blend of machine learning technologies to extract the text data from such forms and automatically convert it to text that can be processed and understood by the computer.

Details

Title
Extraction of handwritten and printed text from a form
Author
Shah, Aayush 1 ; Doshi, Neel 1 ; Shah, Jainam 1 ; Goel, Kunal 1 ; Raut, Purva 1 

 Dwarkadas J. Sanghvi College of Engineering, Mumbai – 400056, India 
Publication year
2021
Publication date
Mar 2021
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2512916165
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.