| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01059 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101059 | |
| Published online | 05 June 2023 | |
Handwritten Character Recognition to Obtain Editable Text
1 Department of ECE Gokaraju Rangaraju Institute Of Engineering And Technology, Telangana, Hyderabad
2 Department of ECE Gokaraju Rangaraju Institute Of Engineering And Technology, Telangana, Hyderabad
3 Department of ECE Gokaraju Rangaraju Institute Of Engineering And Technology, Telangana, Hyderabad
4 Department of ECE Gokaraju Rangaraju Institute Of Engineering And Technology, Telangana, Hyderabad
* Corresponding Author: pravalikajella409@gmail.com
Optical character recognition involves distinguishing, grouping, and, in specific cases, remedying optical images/designs in a computerized picture. Online printed text, disconnected text, and transcribed reports may be in every way focused on for acknowledgment. Various applications, for example, postal addresses, be handled rapidly. Character acknowledgment depends intensely on division, include extraction, and grouping draws near. To successfully deal with message, an OCR goes through many stages, including optical checking, area division, pre-handling, division, portrayal, highlight extraction, preparing and acknowledgment, and post-handling. Random Forest, Decision Tree, MLP, and KNN might be utilized in the preparation stage to make the framework more effective at handling a lot of information. Transcribed text acknowledgment is a functioning subject of study. A few OCR strategies and their impediments are, covered as well as an outline of the forecast Season of Random Forest, Decision Tree, MLP, and KNN based frameworks. We upgrade this thought by adding picture and sound sources of info.
Key words: OCR / character recognition using handwriting
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.