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 |
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Rok vydání: | 2018 |
Předmět: |
Computer science
Speech recognition Process (computing) 030218 nuclear medicine & medical imaging law.invention 03 medical and health sciences Microcontroller 0302 clinical medicine Touchscreen law Handwriting Arduino ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Preprocessor User interface MATLAB computer computer.programming_language |
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 |
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