Automatic Handwritten words on Touchscreen to Text file converter

Autor: Adrita Anika, Mohammed Abid Abrar, Shaikh Anowarul Fattah, Asir Intisar Khan, Rajat Chakraborty, Tanney Chowdhury, Bidya Debnath, Celia Shahnaz
Rok vydání: 2018
Předmět:
Zdroj: TENCON
DOI: 10.1109/tencon.2018.8650269
Popis: 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
Databáze: OpenAIRE