Automatic Handwritten words on Touchscreen to Text file converter

This paper proposes a system for converting handwritten words and numbers into a text file. Our system uses A CNN based method to identify letter and digits. This Automatic system requires image preprocessing, classifying into letters and digits and saving the letter into a text file. The system con...

Full description

Saved in:
Bibliographic Details
Main Authors: Debnath, Bidya, Anika, Adrita, Abrar, Mohammed Abid, Chowdhury, Tanney, Chakraborty, Rajat, Khan, Asir Intisar, Anowarul Fattah, Shaikh, Shahnaz, Celia
Format: Conference Proceeding
Language:English
Subjects:
AlexNet
CNN
Hand-writing recognition
IEEE Regions
Load modeling
Matlab
Neural networks
Testing
Touchscreen
Training
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a system for converting handwritten words and numbers into a text file. Our system uses A CNN based method to identify letter and digits. This Automatic system requires image preprocessing, classifying into letters and digits and saving the letter into a text file. The system consists of a touchscreen as a user interface, an Arduino board (microcontroller ATmega 2560) and MATLAB. Any type of handwriting is tested with the classifying process; we got 89% accuracy using our own dataset. Both letter and digits can be recognized and converted into text file using this process. The proposed system will lessen the labor of creating electronic documents and provide easy preservation of data
ISSN:2159-3450
DOI:10.1109/TENCON.2018.8650269